The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve.Highlights a Range of Disciplines and ApplicationsDrawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge."

    If you're a seasoned pro, it can save you thousands. By helping you choose the best equipment for your budget and style of photography, this book can drastically improve the quality of your pictures.In this book, award-winning author and photographer Tony Northrup explains explains what all your camera, flash, lens, and tripod features do, as well as which are worth paying for and which you can simply skip. Tony provides information specific to your style of photography, whether you're a casual photographer or you're serious about portraits, landscapes, sports, wildlife, weddings, or even macro.For the casual reader, Tony provides quick recommendations to allow you to get the best gear for your budget, without spending days researching. If you love camera gear, you'll be able to dive into over 200 pages of detailed gear information covering any manufacturer's equipment. Tony also provides specific recommendations for Nikon, Canon, Sony, Alien Bees, Profoto, Elinchrom, Yongnuo, PocketWizard, Phottix, Pixel King, and several other manufacturers. Camera technology changes fast, and this book keeps up. Tony updates this book several times per year, and buying the book gives you a lifetime subscription to the updated content. You'll always have an up-to-date reference on camera gear right at your fingertips.Here are just some of the topics covered in the book: * What should my first camera be? * Which lens should I buy? * Should I buy Canon, Nikon, Sony, Pentax, or another brand? * Is a mirrorless camera or a DSLR better for me? * Do I need a full frame camera? * Is it safe to buy generic lenses and flashes? * What's the best landscape photography gear? * Which portrait lens and flash should I buy? * What gear do I need to photograph a wedding? * How can I get great wildlife shots on a budget? * Which sports photography equipment should I purchase? * Should I buy zooms or primes? * Is image stabilization worth the extra cost? * Which type of tripod should I buy? * Which wireless flash system is the best for my budget? * How can I save money by buying used? * What kind of computer should I get for photo editing?

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Many students are bored and disengaged Teachers are handcuffed by outdated textbooks, standardized curriculum, and disinterested students. What if you could solve these problems immediately and excite even your most reluctant learners daily? Read it Today and Engage tomorrow! 33-year veteran teacher, author, presenter, and engagement guru James Alan Sturtevant makes it easy, with incredible teacher tips and tools for both the veteran and student teacher--50 engagement tools that you can begin using right now, with no special training or boring professional development. Easily rebrand your class and connect with all students Are you the teacher students "hate"? Do kids groan when they walk into your classroom? Engaging learners is all about connecting and making education fun. With Sturtevant's education tips and creative teaching tools, students will rebrand you and your class as their favorites. Best of all, they'll engage with every lesson you teach, every single day! 50 Tips and Tools Unlike other education books that weigh you down with archaic research and impossible-to-implement strategies, Hacking Engagement, the 7th book in the popular Hack Learning Series, provides 50 unique, exciting, and actionable tips and tools that you can apply right now. And there's something here for every teacher--no matter what grade or subject you teach. Try one of these amazing engagement strategies tomorrow: Engage the Enraged Create Celebrity Couple Nicknames Hash out a Hashtag Empower Students to Help You Uncover Your Biases Avoid the Great War on Yoga Pants Let Your Freak Flag Fly Become a Proponent of the Exponent Trade Blah, Blah, Blah for Zen Transform Your Class into a Focus Group Commit to Engagement Try at least one tip or tool now and witness an amazing transformation in your classroom and school. Are you ready to engage? Scroll up and grab your copy of Hacking Engagement now.

    Commercial game development expert Robert Nystrom presents an array of general solutions to problems encountered in game development. For example, you'll learn how double-buffering enables a player to perceive smooth and realistic motion, and how the service locator pattern can help you provide access to services such as sound without coupling your code to any particular sound driver or sound hardware. Games have much in common with other software, but also a number of unique constraints. Some of the patterns in this book are well-known in other domains of software development. Other of the patterns are unique to gaming. In either case, Robert Nystrom bridges from the ivory tower world of software architecture to the in-the-trenches reality of hardcore game programming. You'll learn the patterns and the general problems that they solve. You'll come away able to apply powerful and reusable architectural solutions that enable you to produce higher quality games with less effort than before. Applies classic design patterns to game programming. Introduces new patterns specific to game programming. Brings abstract software architecture down to Earth with approachable writing and an emphasis on simple code that shows each pattern in practice. What you'll learn Overcome architectural challenges unique to game programming Apply lessons from the larger software world to games. Tie different parts of a game (graphics, sound, AI) into a cohesive whole. Create elegant and maintainable architecture. Achieve good, low-level performance. Gain insight into professional, game development. Who this book is forGame Programming Patterns is aimed at professional game programmers who, while successful in shipping games, are frustrated at how hard it sometimes is to add and modify features when a game is under development. Game Programming Patterns shows how to apply modern software practices to the problem of game development while still maintaining the blazing-fast performance demanded by hard-core gamers. Game Programming Patterns also appeals to those learning about game programming in their spare time. Hobbyists and aspiring professionals alike will find much to learn in this book about pathfinding, collision detection, and other game-programming problem domains.

    

    In the Mastering Emacs ebook you will learn the answers to all the concepts that take weeks, months or even years to truly learn, all in one place.“Emacs is such a hard editor to learn”But why is it so hard to learn? As it turns out, it's almost always the same handful of issues that everyone faces.If you have tried to learn Emacs you will have struggled with the same problems everyone faces, and few tutorials to see you through it.I have dedicated the first half of the book to explaining the essence of Emacs — and in doing so, how to overcome these issues:Memorizing Emacs’s keys: You will learn Emacs one key at a time, starting with the arrow keys. To feel productive in Emacs, it’s important you start on an equal footing — without too many new concepts and keys to memorize. Each chapter will introduce more keys and concepts so you can learn at your own pace. Discovering new modes and features: Emacs is a self-documenting editor, and I will teach you how to use the apropos, info, and describe system to discover new modes and features, or help you find things you forgot! Customizing Emacs: You don’t have to learn Emacs Lisp to alter a lot of Emacs’s functionality. Most changes you want to make are possible using Emacs’s Customize interface and I will show you how to use it efficiently. Understanding the terminology: Emacs is so old it predates almost every other editor and all modern user interfaces. I have an entire chapter dedicated to the unique terminology in Emacs; how it is different from other editors, and what that means to you.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Author Caleb Doxsey covers the language’s core features with step-by-step instructions and exercises in each chapter to help you practice what you learn.Go is a general-purpose programming language with a clean syntax and advanced features, including concurrency. This book provides the one-on-one support you need to get started with the language, with short, easily digestible chapters that build on one another. By the time you finish this book, not only will you be able to write real Go programs, you'll be ready to tackle advanced techniques.* Jump into Go basics, including data types, variables, and control structures* Learn complex types, such as slices, functions, structs, and interfaces* Explore Go’s core library and learn how to create your own package* Write tests for your code by using the language’s go test program* Learn how to run programs concurrently with goroutines and channels* Get suggestions to help you master the craft of programming

    

    This book is the most complete and up-to-date resource on Java from programming guru, Herb Schildt -- a must-have desk reference for every Java programmer.

    More importantly, this book provides a framework for thinking about computer organization and design that will enable the reader to continue the lifetime of learning necessary for staying at the forefront of this competitive discipline. --John Crawford Intel Fellow Director of Microprocessor Architecture, Intel The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a deep look into the computer. It demonstrates the relationship between the software and hardware and focuses on the foundational concepts that are the basis for current computer design. Using a distinctive learning by evolution approach the authors present each idea from its first principles, guiding readers through a series of worked examples that incrementally add more complex instructions until they ha

    "The Digital Negative: Raw Image Processing in Lightroom, Camera Raw, and Photoshop" is devoted exclusively to the topic and shows you how to make the most of that control. Now that raw image processing technology has matured as an essential aspect of digital photography, you need a modern book that takes a seasoned approach to the technology and explains the advantages and challenges of using Lightroom or Camera Raw to produce magnificent images. Renowned photographer and bestselling author Jeff Schewe outlines a foolproof process for working with these digital negatives and presents his real-world expertise on optimizing raw images. You ll also learn hands-on techniques for exposing and shooting for raw image capture and developing a raw processing workflow, as well as Photoshop techniques for perfecting the master image, converting color to black and white, and processing for panoramic and HDR images. Get the best tone and color from your digital negatives. Use Lightroom and Camera Raw sharpening controls to maximize image quality. Take advantage of Photoshop to do what Lightroom and Camera Raw can t. Produce stunning black-and-white images. Visit the book s companion website at TheDigitalNegativeBook.com for sample images and more!"

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa