Kindle book will release on April 10. Paperback will be out the same day but cannot be pre-ordered.A cartel kingpin. A botched raid. A blood-soaked vendetta.When Mexico’s deadliest cartel, La Manada, spills blood on American soil, Delta Force Captain Axel Blaze gets the call. His mission: capture cartel boss Javier Salazar and crush his empire. No red tape. No half-measures.But when an ambush forces Blaze to pull back stateside, the cartel takes the fight across the border—hitting civilians, targeting officials, daring him to respond.Now, it’s personal. This time, it’s not about taking prisoners—it’s about ending threats. Blaze is coming for Salazar, and he won’t stop until La Manada is nothing but a smoldering memory._________________Praise for the series:“Blaze combines the force of Reacher, the unapologetic badassery of Dirty Harry, the savagery of Frank Castle, and the calculated precision of Bourne.”"Blaze is a no-nonsense guy. Shoot second...after head butting the guy first. My kind of hero!"“Blaze is a badass in the real sense of the word. He doesn’t stop until every bad guy is broken or dead.”_________________Readers are saying:★★★★★ “…non-stop action…”★★★★★ “…fast and violent…”★★★★★ “Blaze is the new badass in town!!”★★★★★ “Must read! This series rocks!!” Read more

Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systemsKey FeaturesUnderstand the foundations and advanced techniques of building intelligent, autonomous AI agentsLearn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systemsExplore crucial aspects of trust, safety, and ethics in AI agent development and applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learnMaster the core principles of GenAI and agentic systemsUnderstand how AI agents operate, reason, and adapt in dynamic environmentsEnable AI agents to analyze their own actions and improviseImplement systems where AI agents can leverage external tools and plan complex tasksApply methods to enhance transparency, accountability, and reliability in AIExplore real-world implementations of AI agents across industriesWho this book is forThis book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.Table of ContentsFundamentals of Generative AIPrinciples of Agentic SystemsEssential Components of Intelligent AgentsReflection and Introspection in AgentsEnabling Tool Use and Planning in AgentsExploring the Coordinator, Worker, and Delegator ApproachEffective Agentic System Design TechniquesBuilding Trust in Generative AI SystemsManaging Safety and Ethical ConsiderationsCommon Use Cases and ApplicationsConclusion and Future Outlook Read more

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practicesBook DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.Why PyTorch?PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learnExplore frameworks, models, and techniques for machines to 'learn' from dataUse scikit-learn for machine learning and PyTorch for deep learningTrain machine learning classifiers on images, text, and moreBuild and train neural networks, transformers, and boosting algorithmsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho this book is forIf you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple Machine Learning Algorithms for ClassificationA Tour of Machine Learning Classifiers Using Scikit-LearnBuilding Good Training Datasets – Data PreprocessingCompressing Data via Dimensionality ReductionLearning Best Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying Machine Learning to Sentiment AnalysisPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data – Clustering AnalysisImplementing a Multilayer Artificial Neural Network from Scratch(N.B. Please use the Look Inside option to see further chapters) Read more

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practicesPurchase of the print or Kindle book includes a free eBook in PDF format“This book is instrumental in making sure that as many people as possible can not only use LLMs but also adapt them, fine-tune them, quantize them, and make them efficient enough to deploy in the real world.”- Julien Chaumond, CTO and Co-founder, Hugging FaceBook DescriptionThis LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps' best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter Notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects.What you will learnImplement robust data pipelines and manage LLM training cyclesCreate your own LLM and refine with the help of hands-on examplesGet started with LLMOps by diving into core MLOps principles like IaCPerform supervised fine-tuning and LLM evaluationDeploy end-to-end LLM solutions using AWS and other toolsExplore continuous training, monitoring, and logic automationLearn about RAG ingestion as well as inference and feature pipelinesWho this book is forThis book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios.Table of ContentsUndersstanding the LLM Twin Concept and ArchitectureTooling and InstallationData EngineeringRAG Feature PipelineSupervised Fine-tuningFine-tuning with Preference AlignmentEvaluating LLMsInference OptimizationRAG Inference PipelineInference Pipeline DeploymentMLOps and LLMOpsAppendix: MLOps Principles Read more

Discover the Bible's ancient wisdom on these challenging people - who they are, how they got that way, how to deal with them, and God's final word on it all.If you’re checking out this book, there is a good chance you - or someone you care about - have experienced some of the more damaging consequences of genuine narcissism. Maybe you didn’t realize you were dealing with a narcissist at first, but the pain and damage caused by this selfish, arrogant, condescending, and domineering person might have driven you to search for answers about what was going on, and how to deal with them. As you searched online or in books, you collected the conventional wisdom available, but feel there is still more to it.While the Bible does not use the exact term "narcissism" - a word from Greek mythology - it most certainly speaks to the subject. In fact, if you look carefully, you might be surprised at just how much and how directly Scripture speaks about narcissism and narcissistic people.The First Will Be Last: A Biblical Perspective on Narcissism is just what the title says - an A-Z look at the Biblical perspective on these toxic people; including who they are, how they got that way, and how to deal with them. From key words to Biblical case studies, it will unlock a new perspective and provide a framework in your search for truth.CONTENTSLET’S BEGINHow to Read this BookWHO SHOULD I LISTEN TO?The Range of PerspectivesThe Secular Perspective on NarcissismThere’s Another OptionTHE BIBLICAL PROFILE OF A NARCISSISTPainting the Biblical PictureLayer 1 - Key Words and DefinitionsLayer 2 – Key Word UsageLayer 3 – Case Studies in the BibleEnhancing the PortraitAdditional Case StudiesTHREE QUESTIONS#1 - Can A Narcissist Be a Christian (& vice versa)?#2 - Do They Really “Get Away With It”?#3 - Can A Narcissist Ever Change?CAUSES – ONE ROOT, SEVERAL BRANCHESThe Root CauseFour ExamplesUltimately They Look In, Not UpA PATH TO GENUINE CHANGEThe FoundationGod’s Radical RevelationsMaking it RealChoicesCOPING WITH NARCISSISTSGod’s Responsibility…and OursProtect YourselfBe Smart in Your InteractionsLearn to Pray in the SituationPractical Solutions … and God’s Grand PlanFROM WHY, TO HOPE, TO LOVEAsking “Why”God’s Plan for A Purpose of LoveThe Four Pillars of TrustTurning Tears into a Life-giving SpringWhy to Hope to LoveYOUR JOURNEY FORWARDCrying Out, Seeking GodPrayingWalking ForwardComing Full CircleWritten by someone who understands the journey, this book starts with discovery, and ends with comfort. NOTE: The Amazon "Look Inside" formatting does not accurately represent the much higher quality format of the actual Kindle book. Read more

Use PowerShell to save time and reduce the potential for human error by writing scripts that automate the execution of tasksPurchase of the print or Kindle book includes a free PDF eBook.Key FeaturesExplores PowerShell as a programming languageTake advantage of the features built into the PowerShell language in day-to-day automationAutomation of complex tasks, data manipulation, and environment securityBook DescriptionMastering PowerShell Scripting, Fifth Edition, can help you overcome any fears and become proficient in navigating PowerShell's capabilities. This edition includes new chapters on debugging, troubleshooting, and creating GUIs. You will learn about the latest features of PowerShell 7.3, including working with parameters, objects, and .NET classes. The book covers basic and advanced topics, such as asynchronous processing, desired state configuration, managing large amounts of data, interacting with other services, and working with regular expressions and Windows Management Instrument (WMI). Discover how to efficiently use PowerShell's automation features and error-handling techniques for more complex scripts and filters.Starting with foundational knowledge, this extensive guide progresses to advanced concepts like using complex scripts and filters, asynchronous processing, desired state configuration, debugging, and error-handling techniques. You will learn how to effectively handle large data sets and interact with external services using PowerShell 7.3. Additionally, you'll discover how to fully utilize PowerShell's automation capabilities, including parsing data, manipulating regular expressions, and working with WMI using various methods.What you will learnCreate scripts that can be run on different systemsPowerShell is highly extensible and can integrate with other programming languagesDiscover the powerful command-line interface that enables users to perform various operations with easeCreate reusable scripts and functions in PowerShellUtilize PowerShell for various purposes, including system administration, automation, and data processingIntegrate PowerShell with other technologies such as .NET, COM, and WMIWork with common data formats such as XML, JSON, and CSV in PowerShellCreate custom PowerShell modules and cmdlets to extend its functionalityWho this book is forThis book is for system administrators who want to automate and speed up their processes using PowerShell and Windows PowerShell. You'll need to know the basics of operating systems, but beginners with no prior experience with PowerShell will have no trouble following along.Table of ContentsIntroduction to PowerShellModulesVariables, Arrays, and HashtablesWorking with Objects in PowerShellOperatorsConditional Statements and LoopsWorking with .NETStrings, Numbers, and DatesRegular ExpressionsFiles, Folders, and the RegistryWindows Management InstrumentationWorking with HTML, XML, and JSONWeb Requests and Web ServicesRemoting and Remote ManagementAsynchronous ProcessingGraphical user interfacesScripts, Functions, and Script BlocksParameters, Validation, and Dynamic ParametersClasses and EnumerationsBuilding ModulesTestingError HandlingDebugging Read more

Bring your data to life with this accessible yet fast-paced introduction to Power BI, now in color.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features: - Learn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and more- Migrate your existing Excel and data analysis skills to Power BI- Build accurate analytical models, reports, and dashboards, now in colorBook Description: Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.What You Will Learn: - Connect to data sources using import, DirectQuery, and live connection options- Use Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloud- Design effective reports with built-in and custom visuals to optimize user experience- Implement row-level and column-level security in your dashboards- Administer a Power BI cloud tenant for your organization- Use built-in AI capabilities to enhance Power BI data transformation techniques- Deploy your Power BI Desktop files into Power BI Report ServerWho this book is for: This book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.Table of Contents- Gaining Data Literacy with Power BI- Connecting to Data- Data Transformation Strategies- Building the Data Model- Leveraging DAX- Visualizing Data- Digital Storytelling with Power BI- Using a Cloud Deployment with the Power BI Service- Data Cleansing in the Cloud with Dataflows- On-Premises Solutions with Power BI Report Server Read more

Second edition of my Amazon Best Seller: Completely revised and updated. Suitable for the 12th generation and11th generation Kindle Paperwhite.Like any new device, the 12th generation kindle paperwhite can be overwhelming, even for seasoned techos. However, a quick tour will get most people reading their first book in no time. As with many things in life though, the devil is in the detail. That's where my 12th Generation Kindle Paperwhite User Guide comes in.Let me help you unlock the power of your paperwhite to make reading a book a greater joy than you ever imagined it could be. I start by outlining all the reasons why I love my paperwhite, and I spend the remainder of the book teaching them to you.I address challenges as simple as finding the on button and finding the charging port. Then I walk you through the setup process. Next, using labelled screen-captures (that you can download and print out from the companion website), I take you on a tour of your paperwhite and show you how to buy your first kindle book and how to read your first kindle book. Finally, advanced topics like note taking, using the in-built dictionary, the kindle cloud reader, and troubleshooting setup when things go wrong.Here’s what’s inside my kindle manual:Chapter 1: Chapter summaries. A brief overview of what to expect in each chapter.Chapter 2: Introduction. Why I love my paperwhite (excuse my prose). Chapter suggestions for different groups of readers (first timers, language learners, nonfiction readers, accessibility, . . .)Chapter 3: Quickstart. Setup your paperwhite and start reading a book in five minutes.Chapter 4: Step-by-step kindle paperwhite setup.Chapter 5: Paperwhite tour and how to use kindle paperwhite. The home screen, the library screen, reading a book, toolbars, the kindle store, bookmarking and table of contents (includes four labelled figures).Chapter 6: Paperwhite as a learning aid. Dictionary, Wikipedia, translation, X-Ray, highlighting and note taking, vocabulary builder.Chapter 7: Personalize the appearance of your screen. Read a book with text size and screen brightness that’s most comfortable for you (includes labelled figure).Chapter 8: Acquiring and managing content. Where to get FREE eBooks, and how to buy and borrow books from your paperwhite, smartphone and web browser. Borrow books from US public libraries. The three ways to transfer book to kindle (I only recommend one).Chapter 9: The settings menu. Kindle paperwhite settings, Voiceview screen reader, and moreChapter 10: Manage your paperwhite from a web browser. Manage kindle content and manage kindle devices, a tour of the free Kindle cloud reader (includes three labelled figures).Chapter 11: Subscriptions, programs and categories. How does Prime Reading work and how does Kindle Unlimited work, Vella, First Reads, Short Reads, Audible narration, and more.Chapter 12: Fifteen in-depth troubleshooting tips. Problems with setup, wi-fi, screen taps, content, charging, hardware.Chapter 13: Twenty seven FAQs answered. Content, charging, subscriptions, the amazon ecosystem, hardware, and more.Chapter 14: Concluding remarksDownload the eight labelled screen captures from the companion website and print them out.Scroll up and click the "Buy Now" button for my kindle user guide . . . Supercharge your paperwhite now! Read more

Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageKey FeaturesOptimize data retrieval and generation using vector databasesBoost decision-making and automate workflows with AI agentsOvercome common challenges in implementing real-world RAG systemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.What you will learnUnderstand RAG principles and their significance in generative AIIntegrate LLMs with internal data for enhanced operationsMaster vectorization, vector databases, and vector search techniquesDevelop skills in prompt engineering specific to RAG and design for precise AI responsesFamiliarize yourself with AI agents' roles in facilitating sophisticated RAG applicationsOvercome scalability, data quality, and integration issuesDiscover strategies for optimizing data retrieval and AI interpretabilityWho this book is forThis book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.Table of ContentsWhat Is Retrieval-Augmented Generation (RAG)Code Lab – An Entire RAG PipelinePractical Applications of RAGComponents of a RAG SystemManaging Security in RAG ApplicationsInterfacing with RAG and GradioThe Key Role Vectors and Vector Stores Play in RAGSimilarity Searching with VectorsEvaluating RAG Quantitatively and with VisualizationsKey RAG Components in LangChainUsing LangChain to Get More from RAGCombining RAG with the Power of AI Agents and LangGraphUsing Prompt Engineering to Improve RAG EffortsAdvanced RAG-Related Techniques for Improving Results Read more

Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environmentKey FeaturesFollow practical Python recipes to acquire, visualize, and store market data for market researchDesign, backtest, and evaluate the performance of trading strategies using professional techniquesDeploy trading strategies built in Python to a live trading environment with API connectivityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading.Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using vectorbt and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.What you will learnAcquire and process freely available market data with the OpenBB PlatformBuild a research environment and populate it with financial market dataUse machine learning to identify alpha factors and engineer them into signalsUse VectorBT to find strategy parameters using walk-forward optimizationBuild production-ready backtests with Zipline Reloaded and evaluate factor performanceSet up the code framework to connect and send an order to Interactive BrokersWho this book is forPython for Algorithmic Trading Cookbook equips traders, investors, and Python developers with code to design, backtest, and deploy algorithmic trading strategies. You should have experience investing in the stock market, knowledge of Python data structures, and a basic understanding of using Python libraries like pandas. This book is also ideal for individuals with Python experience who are already active in the market or are aspiring to be.Table of ContentsAcquire Free Financial Market Data with Cutting-edge Python LibrariesAnalyze and Transform Financial Market Data with pandasVisualize Financial Market Data with Matplotlib, Seaborn, and Plotly DashStore Financial Market Data on Your ComputerBuild Alpha Factors for Stock PortfoliosVector-Based Backtesting with VectorBTEvent-Based Backtesting Factor Portfolios with Zipline ReloadedEvaluate Factor Risk and Performance with Alphalens ReloadedAssess Backtest Risk and Performance Metrics with PyfolioSet Up the Interactive Brokers Python APIManage Orders, Positions, and Portfolios with the IB API(N.B. Please use the Read Sample option to see further chapters) Read more

Get started with building your first game on the Roblox platformPurchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesBegin coding in Luau: build player avatars, battlefields, game physics, countdown timers and moreLearn tips, tricks, best practices, and advanced Roblox coding techniques to create 3D gamesJoin the book club to discuss queries, provide solutions, and ask Zander for advice on your gamesBook Description“...a must-read, must-practice essential book for anyone getting started with building games on Roblox using Luau programming...”-Frederic Markus, President, Feerik Games (Ex-Ubisoft, Nintendo, Rockstar, Disney, LucasArts, and Epic Games)“..includes everything from Roblox Studio menus, the basics of the Luau scripting language, how to tie in real-world (or any world!) physics into your experience of marketing your game as well as some great ideas for where to go next.”-Jay Sebastian, Computer Scientist and Adjunct Lecturer in AI for Games and Simulation“I read/worked through the book with my kids to build a game together and I highly recommend pre-teens, teens, and tweens to pick this up as their first book to coding games”-James W. Y III, Technology Integration Specialist at Old Bridge Township Public SchoolsRoblox isn't just popular; it's incredibly popular, featuring more than 54 million active players per day. Any experience imaginable can be created on Roblox.Coding Roblox Games Made Easy, 2nd Edition, is the go-to guide for anyone at any age looking to get started with building a game on Roblox using Luau programming. In just over 300 pages, you'll learn the basics of Luau programming, build two end-to-end games, and add customizations before finally publishing and monetizing them.'50 Cool Things to Do in Roblox' is the perfect bonus chapter to end on, with helpful tips and information presented with examples to save your time when coding, animating, building avatars, using Robux and so much more.Join Zander, rockstar Roblox developer and programmer on this game development journey and bring your ideas to life.What you will learnUse Roblox Studio and other free resourcesLearn coding in Luau: basics, game systems, physics manipulation, and moreTest, evaluate, and redesign to create bug-free and engaging gamesUse Roblox programming and rewards to make your first gameMove from lobby to battleground, build avatars, and locate weapons to fightExplore character selection, countdown timers, locate escape items, assign rewardsMaster the 3 Ms: Mechanics, Monetization, Marketing (and Metaverse)Discover 50 cool things to do in RobloxWho this book is forThis book is for anyone interested in learning the fundamentals of Luau programming and Roblox Studio and looking for help with building and sharing Roblox games.The book requires no prior knowledge of game development.Table of ContentsIntroducing Roblox DevelopmentKnowing Your Work EnvironmentIntroduction to LuauRoblox Programming ScenariosCreating an ObbyCreating a Battle Royale GameThe Three Ms50 Cool Things to Do in Roblox Read more

Second edition of the 2023 Amazon Best Seller: Completely revised and updated. Suitable for the 12th generation and11th generation Kindle Paperwhite.Like any new device, the 12th generation kindle paperwhite can be overwhelming, even for seasoned techos. However, a quick tour will get most people reading their first book in no time. As with many things in life though, the devil is in the detail. That's where my 12th Generation Kindle Paperwhite User Guide comes in.Let me help you unlock the power of your paperwhite to make reading a book a greater joy than you ever imagined it could be. I start by outlining all the reasons why I love my paperwhite, and I spend the remainder of the book teaching them to you.I address challenges as simple as finding the on button and finding the charging port. Then I walk you through the setup process. Next, using labelled screen-captures (that you can download and print out from the companion website), I take you on a tour of your paperwhite and show you how to buy your first kindle book and how to read your first kindle book. Finally, advanced topics like note taking, using the in-built dictionary, the kindle cloud reader, and troubleshooting setup when things go wrong.Here’s what’s inside my kindle manual:Chapter 1: Chapter summaries. A brief overview of what to expect in each chapter.Chapter 2: Introduction. Why I love my paperwhite (excuse my prose). Chapter suggestions for different groups of readers (first timers, language learners, nonfiction readers, accessibility, . . .)Chapter 3: Quickstart. Setup your paperwhite and start reading a book in five minutes.Chapter 4: Step-by-step kindle paperwhite setup.Chapter 5: Paperwhite tour and how to use kindle paperwhite. The home screen, the library screen, reading a book, toolbars, the kindle store, bookmarking and table of contents (includes four labelled figures).Chapter 6: Paperwhite as a learning aid. Dictionary, Wikipedia, translation, X-Ray, highlighting and note taking, vocabulary builder.Chapter 7: Personalize the appearance of your screen. Read a book with text size and screen brightness that’s most comfortable for you (includes labelled figure).Chapter 8: Acquiring and managing content. Where to get FREE eBooks, and how to buy and borrow books from your paperwhite, smartphone and web browser. Borrow books from US public libraries. The three ways to transfer book to kindle (I only recommend one).Chapter 9: The settings menu. Kindle paperwhite settings, Voiceview screen reader, and moreChapter 10: Manage your paperwhite from a web browser. Manage kindle content and manage kindle devices, a tour of the free Kindle cloud reader (includes three labelled figures).Chapter 11: Subscriptions, programs and categories. How does Prime Reading work and how does Kindle Unlimited work, Vella, First Reads, Short Reads, Audible narration, and more.Chapter 12: Fifteen in-depth troubleshooting tips. Problems with setup, wi-fi, screen taps, content, charging, hardware.Chapter 13: Twenty seven FAQs answered. Content, charging, subscriptions, the amazon ecosystem, hardware, and more.Chapter 14: Concluding remarksDownload the eight labelled screen captures from the companion website and print them out.Scroll up and click the "Buy Now" button for my kindle user guide . . . Supercharge your paperwhite now! Read more

A step-by-step guide that will help you create, share, and deploy applications across your organization using Microsoft Power AppsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild apps from scratch to solve real-world business scenariosLearn how to keep app data secure with expanded coverage on DataverseIncorporate AI into your app building process using AI Builder and CopilotBook DescriptionMicrosoft Power Apps provides a modern approach to building low-code business applications for mobiles, tablets, browsers, and Microsoft Teams. The second edition of Learn Microsoft Power Apps will guide you in creating well designed and secure apps that transform old processes and workflows.Learn Microsoft Power Apps starts with an introduction to Power Apps to help you feel comfortable with the creation experience. Using screenshots from the latest UI, you will be guided through how to create an app, building your confidence to start developing further. This book will help you design, set up, and configure your first application by writing simple formulas. You'll learn about the different types of apps you can build in Power Apps and which one applies best to your requirements.In addition to this, you’ll learn how to identify the right data storage system for you, with new chapters covering how to integrate apps with SharePoint or Dataverse. As you advance, you’ll be able to use various controls, connectors, and data sources to create a powerful, interactive app. For example, this book will help you understand how Power Apps can use Microsoft Power Automate, Power BI, and Azure functionalities to improve your applications. Finally, you will be introduced to the emerging Power Apps Copilot tool, which uses artificial intelligence to accelerate the app building process.By the end of this Power Apps book, you’ll be ready to confidently develop lightweight business applications with minimal code.What you will learnUnderstand the Power Apps ecosystem and licensingTake your first steps building canvas appsDevelop apps using intermediate techniques such as the barcode scanner and GPS controlsExplore new connectors to integrate tools across the Power PlatformStore data in Dataverse using model-driven appsDiscover the best practices for building apps cleanly and effectivelyUse AI for app development with AI Builder and CopilotWho this book is forThis book is intended for business analysts, IT professionals, and both developers and non-developers alike. If you want to meet business needs by creating purpose-built apps, this book is for you. To get the most out of this book, it is recommended that you have a basic understanding of Microsoft 365 as you will interact with various elements of it while developing apps.Table of ContentsIntroducing Power AppsCreating Your First Canvas Power AppCreating Apps in SharePointPublishing and Leveraging in Power AppsExploring ControlsExploring FormulasExploring Reusable ControlsWorking With DataIntroducing ConnectorsUsing GPS in Power AppsWorking with Images and BarcodesSecuring Your PowerAppsWorking OfflineUsing Power Automate with Power AppsUsing Azure with Power AppsVisualizing DataIntroducing Artificial IntelligenceIntroducing Microsoft DataverseIntroducing Model-Driven AppsCreating Model-Driven AppsExploring Environments and Data PoliciesIntroducing the Future of Power AppsGood Practices for Creating Power AppsAppendix Read more

Unlock over 100 recipes for mastering Microsoft 365. Boost productivity with Copilot, collaborate with SharePoint and Teams, automate tasks, create apps and reports using Power Automate (with RPA), Power Apps, Power BI, and more.Print or Kindle book purchase includes a free PDF eBook.Key FeaturesEnhance collaboration and productivity using SharePoint, Teams, OneDrive, Viva, Planner, and Microsoft FormsAutomate processes, build apps, bots, and dashboards with Power Automate (with RPA), Power Apps, Copilot Studio, and Power BIHarness Copilot, the new AI virtual assistant, for seamless support in your everyday tasksBook DescriptionMicrosoft 365 offers tools for content management, communication, process automation, and report creation. Microsoft 365 and SharePoint Online Cookbook maximizes workplace collaboration and productivity using SharePoint Online, Teams, OneDrive, Delve, M365 Search, Copilot, Power Platform, Viva, Planner, and Microsoft Forms.You will find thoroughly updated recipes for SharePoint Online, covering sites, lists, libraries, pages, web parts, and learn SharePoint Framework (SPFx) basics for building solutions. You will explore many Microsoft Teams recipes to prepare it to be your organization’s central collaboration hub. You will be able to unlock Power Platform potential with recipes for Power Apps to enable low-code/no-code app development and learn to automate tasks with Power Automate and Power Automate Desktop. The book teaches you data visualization with Power BI, and chatbot creation with Power Virtual Agents (Copilot Studio). Finally, you will also learn about the cutting-edge Copilot and Gen AI functionality in Microsoft 365 and Power Platform. By the end, you will be equipped with skills to effectively use Microsoft 365, SharePoint Online, and the Power Platform.Whether it's enhancing career prospects or improving business operations, this book is a perfect companion on your journey through the Microsoft Office 365 suite.What you will learnCollaborate effectively with SharePoint, Teams, OneDrive, Delve, Search, and VivaBoost creativity and productivity with Microsoft CopilotDevelop and deploy custom applications using Power AppsCreate custom bots using Power Virtual Agents (Copilot Studio)Integrate with other apps, automate workflows and repetitive processes with Power Automate/Desktop (RPA)Design reports and engaging dashboards with Power BIUtilize Planner, To Do, and gather feedback with polls and surveys in Microsoft FormsExperience seamless integration in the mobile platformWho this book is forThis cookbook caters to professionals stepping into the world of Microsoft 365 and SharePoint Online. It is tailored for a broad spectrum of skillsets including general business professionals, IT administrators, and enterprise architects who are newcomers to Microsoft 365, offering valuable insights for establishing a contemporary, digital workplace effectively.Table of ContentsOverview of Microsoft 365Introduction to SharePoint OnlineModern Sites in SharePoint OnlineLists and Libraries in SharePoint OnlineDocument Management in SharePoint OnlineOneDriveMicrosoft TeamsPower Automate (Microsoft Flow)Creating Power AppsApplying Power AppsPower BIOverview of Copilot in Microsoft 365 and Power PlatformTerm Store and Content Types in SharePoint OnlineSearch in Microsoft 365Microsoft Delve Microsoft 365 GroupsPower Automate Desktop for RPA(N.B. Please use the Read Sample option to see further chapters) Read more

Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloudKey FeaturesTeach yourself all about cloud computing with this easy-to-follow guideDevelop a well-rounded skillset―from fundamentals to data, machine learning, and securityWork on real life industrial projects, business use cases, and personal cloud career developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book is an all-inclusive guide for IT professionals to master cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. If you’re a beginner with basic computer hardware and software understanding, this book provides the means to transitions into a cloud computing career.Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Finally, you’ll get guidance on cloud certifications and career development.Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.What you will learnDevelop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCPGain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environmentsIntegrate cloud databases, big data, and machine learning services in multi-cloud environmentsDesign and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the cloudsImplement machine learning pipelines in multi-cloud environmentSecure cloud infrastructure ecosystems with advanced cloud security servicesWho this book is forWhether you're a beginner in cloud computing or an experienced professional seeking to expand your skills, this meticulously designed study book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build a successful cloud computing career.Table of ContentsAmazon EC2 and Cloud Compute ServicesAmazon Cloud Storage ServicesAmazon Cloud Networking ServicesAmazon Cloud Database ServicesAmazon Cloud Big Data ServicesAmazon Cloud Machine Learning ServicesAmazon Cloud Security ServicesGoogle Cloud Foundation ServicesGoogle Cloud Data ServicesGoogle Cloud AI ServicesGoogle Cloud Security ServicesAzure Cloud Foundation ServicesAzure Cloud Data ServicesAzure Cloud AI ServicesAzure Cloud Security ServicesAchieving Cloud CertificationsBuilding a Successful Cloud Computing Career Read more

Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps and other methods to secure systems Key FeaturesUnderstand the unique security challenges presented by predictive and generative AIExplore common adversarial attack strategies as well as emerging threats such as prompt injectionMitigate the risks of attack on your AI system with threat modeling and secure-by-design methodsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAdversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies, moving beyond research hype or business-as-usual activities.This strategy-based book is a comprehensive guide to AI security, presenting you with a structured approach with practical examples to identify and counter adversarial attacks. In Part 1, you’ll touch on getting started with AI and learn about adversarial attacks, before Parts 2, 3 and 4 move through different adversarial attack methods, exploring how each type of attack is performed and how you can defend your AI system against it. Part 5 is dedicated to introducing secure-by-design AI strategy, including threat modeling and MLSecOps and consolidating recent research, industry standards and taxonomies such as OWASP and NIST. Finally, based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI.By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.What you will learnSet up a playground to explore how adversarial attacks workDiscover how AI models can be poisoned and what you can do to prevent thisLearn about the use of trojan horses to tamper with and reprogram modelsUnderstand supply chain risksExamine how your models or data can be stolen in privacy attacksSee how GANs are weaponized for Deepfake creation and cyberattacksExplore emerging LLM-specific attacks, such as prompt injectionLeverage DevSecOps, MLOps and MLSecOps to secure your AI systemWho this book is forThis book tackles AI security from both angles - offense and defence. AI developers and engineers will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats to AI and mitigate the risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind. To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python.Table of ContentsGetting Started with AIBuilding Our Adversarial PlaygroundSecurity and Adversarial AIPoisoning AttacksModel Tampering with Trojan Horses and Model ReprogrammingSupply Chain Attacks and Adversarial AIEvasion Attacks against Deployed AIPrivacy Attacks – Stealing ModelsPrivacy Attacks – Stealing DataPrivacy-Preserving AIGenerative AI – A New FrontierWeaponizing GANs for Deepfakes and Adversarial Attacks(N.B. Please use the Read Sample option to see further chapters) Read more

★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★Are you a newcomer to computer programming? Do you want to learn a simple programming language that will get you started?Python could be the one for you!Computers are amazing tools that we would find it hard to live without since they have become a feature in almost every home. Many people, however, struggle with anything that is slightly complex and when it comes to computer programming most would admit to being completely lost by even the thought of trying it.Inside this practical beginner’s guide, Python Programming: The Ultimate Beginner’s Guide to Master Python Programming Step by Step with Practical Exercices, you will learn the basics of Python and build a platform upon which you will succeed, even if you have no prior experience at all, using the simple instructions that are contained within chapters on:• How to install Python• Problem solving• Learning basic text operations• Python data structures• How to create functions• Fixing it when things go wrong• 5 vital benefits all novices need to have• And much more…Becoming adept at a computer language can be a challenge when you are first starting out, but with Python Programming you will find a simple yet effective instruction manual that doesn’t just concentrate on theory and boring explanations, but which is a dynamic and interactive workbook that offers solid practical experience as well.Get a copy now and start your computer programming with Python today!

Harness the power of C++ to build smaller, faster, safer, and more predictable programs using the latest techniques and best practices to optimize performance and ensure reliability in your software development projectsKey FeaturesUse contemporary C++ features to enhance code safety and reliabilityDevelop a deeper understanding of memory management mechanisms in C++Write programs that adapt to the constraints of your chosen architecture or platformPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionC++ programmers often face challenges in allocating and managing memory efficiently, especially given the diverse needs of real-time systems, embedded systems, games, and conventional desktop applications. This book offers a targeted approach to address the unique memory constraints of each domain.Written by an ISO C++ Standards Committee member, Patrice Roy, this guide covers fundamental concepts of object lifetime and memory organization to help you write simpler and safer programs. You’ll learn how to control memory allocation mechanisms, create custom containers and allocators, and adapt allocation operators to suit your specific requirements, making your programs smaller, faster, safer, and more predictable.Starting with core principles of memory management, this book introduces modern facilities that simplify your work and then dives into memory management mechanics, building solutions for specific application needs, and measuring their impact on your program’s behavior.By the end of this book, you’ll be able to write secure programs that handle memory optimally for your application domain. You will also have a strong grasp of both high-level abstractions for safer programs and low-level abstractions that allow detailed customization.What you will learnMaster the C++ object model to write more efficient and maintainable codeAutomate resource management to reduce manual errors and improve safetyCustomize memory allocation operators to optimize performance for specific applicationsDevelop your own smart pointers to manage dynamic memory with greater controlAdapt allocation behavior to meet the unique needs of different data typesCreate safe and fast containers to ensure optimal data handling in your programsUtilize standard allocators to streamline memory management in your containersWho this book is forThis book is for programmers who find C++ memory management challenging yet want to master it. It’s ideal for those seeking greater control over memory allocation to make their programs smaller, faster, and safer. Whether you're a seasoned C++ developer or transitioning from other languages, you'll gain insights into how C++ can enhance your programming. It’s especially valuable if you’re working in constrained environments, like embedded systems or game development. Prior experience with programming concepts, such as generic and concurrent programming, is helpful.Table of ContentsObjects, Pointers, and ReferencesThings to Be Careful WithCasts and cv-qualificationsUsing DestructorsUsing Standard Smart PointersWriting Smart PointersOverloading Memory Allocation OperatorsWriting a Naïve Leak DetectorAtypical Allocation MechanismsArena-Based Memory Management and Other OptimizationsDeferred ReclamationWriting Generic Containers with Explicit Memory ManagementWriting Generic Containers with Implicit Memory ManagementWriting Generic Containers with Allocator SupportContemporary IssuesAnnexure: Things You Should Know Read more

Written by a Microsoft security expert, this practical guide helps you harness PowerShell's offensive and defensive capabilities to strengthen your organization's security. Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster PowerShell for security—configure, audit, monitor, exploit, and bypass defensesGain insights from a Microsoft expert and creator of PowerShell tools EventList and JEAnalyzerBuild stealthy techniques to evade controls while improving detection and responseLearn practical techniques from real-world case studies to enhance your security operationsBook DescriptionTake your cybersecurity skills to the next level with this comprehensive PowerShell security guide! Whether you're on the red or blue team, you'll gain a deep understanding of PowerShell's security capabilities and how to apply them.With years of hands-on experience, the author brings real-world use cases to demonstrate PowerShell’s critical role in offensive and defensive security.After covering PowerShell basics and scripting fundamentals, you'll explore PowerShell Remoting and remote management technologies. You'll learn to configure and analyze Windows event logs, identifying crucial logs and IDs for effective monitoring. The book delves into PowerShell's interaction with system components, Active Directory, and Azure AD, including stealth execution methods. You’ll uncover authentication protocols, enumeration, credential theft, and exploitation, providing strategies to mitigate these risks. A dedicated red and blue team cookbook offers practical security tasks. Finally, you'll delve into mitigations such as Just Enough Administration, AMSI, application control, and code signing, emphasizing configuration, risks, exploitation, bypasses, and best practices.By the end of this book, you’ll confidently apply PowerShell for cybersecurity, from detection to defense, staying ahead of cyber threats.What you will learnLeverage PowerShell, its mitigation techniques, and detect attacksFortify your environment and systems against threatsGet unique insights into event logs and IDs in relation to PowerShell and detect attacksConfigure PSRemoting and learn about risks, bypasses, and best practicesUse PowerShell for system access, exploitation, and hijackingRed and blue team introduction to Active Directory and Azure AD securityDiscover PowerShell security measures for attacks that go deeper than simple commandsExplore JEA to restrict what commands can be executedWho this book is forThis book is for security professionals, penetration testers, system administrators, red and blue team members, and cybersecurity enthusiasts aiming to enhance their security operations using PowerShell. Whether you're experienced or new to the field, it offers valuable insights and practical techniques to leverage PowerShell for various security tasks. A basic understanding of PowerShell and cybersecurity fundamentals is recommended. Familiarity with concepts such as Active Directory, as well as programming languages like C and Assembly, can be beneficial.Table of ContentsGetting Started with PowerShellPowerShell Scripting FundamentalsExploring PowerShell Remote Management Technologies and PowerShell RemotingDetection – Auditing and MonitoringPowerShell Is Powerful – System and API AccessActive Directory – Attacks and MitigationHacking the Cloud – Exploiting Azure Active Directory/Entra IDRed Team Tasks and CookbookBlue Team Tasks and Cookbook(N.B. Please use the Read Sample option to see further chapters) Read more

Author Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandasKey FeaturesDiscover new and updated content on NLP transformers, PyTorch, and computer vision modelingIncludes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutionsImplement ML models, such as neural networks and linear and logistic regression, from scratchPurchase of the print or Kindle book includes a free PDF copyBook DescriptionThe fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.What you will learnFollow machine learning best practices throughout data preparation and model developmentBuild and improve image classifiers using convolutional neural networks (CNNs) and transfer learningDevelop and fine-tune neural networks using TensorFlow and PyTorchAnalyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIPBuild classifiers using support vector machines (SVMs) and boost performance with PCAAvoid overfitting using regularization, feature selection, and moreWho this book is forThis expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.Table of ContentsGetting Started with Machine Learning and PythonBuilding a Movie Recommendation EnginePredicting Online Ad Click-Through with Tree-Based AlgorithmsPredicting Online Ad Click-Through with Logistic RegressionPredicting Stock Prices with Regression AlgorithmsPredicting Stock Prices with Artificial Neural NetworksMining the 20 Newsgroups Dataset with Text Analysis TechniquesDiscovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic ModelingRecognizing Faces with Support Vector MachineMachine Learning Best PracticesCategorizing Images of Clothing with Convolutional Neural NetworksMaking Predictions with Sequences Using Recurrent Neural NetworksAdvancing Language Understanding and Generation with Transformer ModelsBuilding An Image Search Engine Using Multimodal ModelsMaking Decisions in Complex Environments with Reinforcement Learning Read more