Guide to developing and using functions and formulas in Excel. This clear and concise coverage of the ins and outs of formula creation and use touches on many forms of math from statistics & trig to financial math. The sheer volume and wealth of information in these 6 pages is equal to 30 pages or more from your average book on the same subject. Includes screenshots. This 6-page laminated guide covers the following topics and more: IntroductionBasic Mathematical OperationsThe Formulas TabReferencing CellsError SolvingSelecting & Using FunctionsFunction Categories Read more

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures Read more

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligenceThe somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world.While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field - a one-stop-shop for AI's past, present, and world-changing future.A Macmillan Audio production from Flatiron BooksPLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more

A best-selling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI.For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both?As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible.*This audiobook contains a PDF of equations, graphs, and illustrations.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. Read more

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Take control of your Windows 11 experience, the easy wayWith millions of copies sold over 18 editions, Windows For Dummies is the all-time best selling tech reference―and there’s a reason. Windows 11 For Dummies, 2nd Edition brings you up to speed on the latest version of Windows, so you can make your PC operate the way you need it to with no guesswork. This straightforward and approachable resource helps you keep your PC or laptop humming, helping you do things like create user profiles, get connected to networks, find lost files, make your computer play nice with a printer, and fix the most common Windows hiccups. New Windows users and upgraders alike can swiftly get up and running with Windows 11, thanks to this wildly popular guide.Discover updated tips and tricks for the latest version of Windows operating systemGet jargon-free instructions on setting up your computer, keeping your data safe, and tailoring your Windows experienceFind the apps you need and avoid all the extras you don’t needWalk through the most common features of Windows 11Even if you have no prior experience with Windows, Windows 11 For Dummies, 2nd Edition is your go-to guide for learning this popular operating system. Intermediate PC users will also find the insider info they need to keep their computers running smoothly and securely. Read more

This practical, tutorial-style book uses the Kali Linux distribution to teach Linux basics with a focus on how hackers would use them. Topics include Linux command line basics, filesystems, networking, BASH basics, package management, logging, and the Linux kernel and drivers.If you're getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent first step. Using Kali Linux, an advanced penetration testing distribution of Linux, you'll learn the basics of using the Linux operating system and acquire the tools and techniques you'll need to take control of a Linux environment.First, you'll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you'll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You'll then focus in on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python. Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to:- Cover your tracks by changing your network information and manipulating the rsyslog logging utility- Write a tool to scan for network connections, and connect and listen to wireless networks- Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email- Write a bash script to scan open ports for potential targets- Use and abuse services like MySQL, Apache web server, and OpenSSH- Build your own hacking tools, such as a remote video spy camera and a password crackerHacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers? Read more

Your complete resource for passing the Security+ exam on the first try.The CompTIA Security+ Get Certified Get Ahead Study Guide series has helped thousands of readers pass the exam on their first attempt.This book covers all of the SY0-701 objectives and includes the same elements readers raved about in the previous versions. Each of the eleven chapters presents topics in an easy-to-understand manner and includes real-world examples of security principles in action. The authors use many of the same analogies and explanations that they honed in the classroom that have helped thousands of students master the Security+ content.With this book, you’ll understand the important and relevant security topics for the Security+ exam without being overloaded with unnecessary details. Additionally, each chapter includes a comprehensive Exam Topic Review section to help you focus on what’s important.Over 300 realistic practice test questions with in-depth explanations will help you test your comprehension and readiness for the exam. The study guide includes a 50-question pre-test, practice test questions at the end of every chapter, as well as a full 90-question practice exam. Each question includes a detailed explanation, helping you understand why the correct answers are correct and why the incorrect answers are wrong. Using these resources, you’ll be ready to take and pass the exam the first time you take it.If you plan to pursue any of the advanced security certifications, this guide will also help you lay a solid foundation of security knowledge. Learn this material, and you’ll be a step ahead for other exams. This SY0-701 study guide is for any IT or security professional interested in advancing in their field and a must-read for anyone striving to master the basics of IT systems security. Read more

Prepare for the Network+ certification and a new career in network installation and administrationIn the newly revised Sixth Edition of CompTIA Network+ Study Guide: Exam N10-009, bestselling authors and network experts Todd Lammle and Jon Buhagiar deliver thorough and accurate coverage of how to install, configure, and troubleshoot today's networking hardware peripherals and protocols.This book shows you how to succeed on the in-demand CompTIA Network+ certification exam, impress interviewers in the networking industry, and excel in your first role as a network administrator, support technician, or related position.The accomplished authors draw on their combined 30+ years of networking experience to walk you through the ins and outs of the five functional domains covered by the Network+ Exam: N10-009: Networking concepts, implementation, operations, security, and troubleshooting. You'll also get:Comprehensive, domain-specific coverage of the updated Network+ Exam: N10-009 objectivesPreparation for the leading network certification used by over 350,000 networking professionalsAccess to a superior set of online study tools, including hundreds of practice questions, flashcards, and a glossary of key termsPerfect for anyone preparing for the latest version of the CompTIA Network+ Exam: N10-009, the Sixth Edition of CompTIA Network+ Study Guide: Exam N10-009 is a must-have resource for network admins seeking to enhance their skillset with foundational skills endorsed by industry pros and thought leaders from around the world.And save 10% when you purchase your CompTIA exam voucher with our exclusive WILEY10 coupon code.  Read more

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Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”)By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them.Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects.Learn what software architects need to achieve–and core disciplines and practices for achieving itMaster essential software design principles for addressing function, component separation, and data managementSee how programming paradigms impose discipline by restricting what developers can doUnderstand what’s critically important and what’s merely a “detail”Implement optimal, high-level structures for web, database, thick-client, console, and embedded applicationsDefine appropriate boundaries and layers, and organize components and servicesSee why designs and architectures go wrong, and how to prevent (or fix) these failuresClean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. Read more

Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves. The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently. Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk. Read more

A friendly, fully-illustrated introduction to the most important computer programming algorithms.Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithmsData structures such as arrays, lists, hash tables, trees, and graphsNP-complete and greedy algorithmsPerformance trade-offs between algorithmsExercises and code samples in every chapterOver 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3. Foreword by Daniel Zingaro. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required! About the book Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3. What's inside Search, sort, and graph algorithmsData structures such as arrays, lists, hash tables, trees, and graphsNP-complete and greedy algorithmsExercises and code samples in every chapter About the reader No advanced math or programming skills required. About the author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents 1 Introduction to algorithms 2 Selection sort 3 Recursion 4 Quicksort 5 Hash tables 6 Beadth-first search 7 Trees 8 Balanced trees 9 Dijkstra’s algorithm 10 Greedy algorithms 11 Dynamic programming 12 k-nearest neighbors 13 where to go next Read more

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. Read more

Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests."A/B testing is the gold standard of creating verifiable and repeatable experiments, and this book is its definitive text" -- Steve Blank, father of modern entrepreneurship, author of The Startup Owner's Manual and The Four Steps to the Epiphany"This book is a great resource for executives, leaders, researchers or engineers looking to use online controlled experiments" -- Harry Shum, Executive Vice President, Microsoft Artificial Intelligence and Research Group"A great book that is both rigorous and accessible. Readers will learn how to bring trustworthy controlled experiments, which have revolutionized internet product development, to their organizations" -- Adam D'Angelo, Co-founder and CEO of Quora and prior CTO of Facebook "Kohavi, Tang and Xu have a wealth of experience and excellent advice to convey, so the book has lots of practical real world examples and lessons learned over many years of the application of these techniques at scale." -- Jeff Dean, Google Senior Fellow, and SVP, Google Research"The secret sauce for a successful online business is experimentation. But it is a secret no longer. Here three masters of the art describe the ABCs of A/B testing so that you too can continuously improve your online services." -- Hal Varian, Chief Economist, Google, and author of Intermediate Microeconomics: A Modern Approach"This is the new bible of how to get from data to decisions in the digital age." -- Scott Cook, Intuit Co-founder & Chairman of the executive committeeBased on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to Use the scientific method to evaluate hypotheses using controlled experiments. Define key metrics and ideally an Overall Evaluation Criterion. Test for trustworthiness of the results and alert experimentersto violated assumptions. Build a scalable platform that lowers the marginal cost of experiments close to zero. Avoid pitfalls like carryover effects and Twyman's law * Understand how statistical issues play out in practice. Read more