Best Selling Books in Computers & Internet

Discover best selling books in computers & internet from local library. Read book reviews and check book availability from public library with one click.

For more book recommendations, please check out New York Times® Best Sellers, Children's Book Recommendations or the complete list of Featured Book Lists and Award Winners

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release date: Mar 03, 2017
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The Legend of Zelda: Breath of the Wild: The Complete Official Guide Collector's Edition
COLLECTOR’S EDITION BONUS: Premium hardcover,extra-large map poster and dedicated 16-page art section

AT-A-GLANCE WALKTHROUGHS: Annotated maps and screenshots show you the way through every quest and dungeon.

TOTALLY COMPREHENSIVE: All side quests, all  Shrines of Trials and all information about collectable items – each mapped out and ready for you to discover and complete! Also includes optional challenges, mini-games, unlockables, Easter eggs, and more.

PUZZLE MASTER: Every single puzzle and riddle unraveled with clear, visual solutions.

EXPERT COMBAT STRATEGY: Practical, reproducible tactics to crush your enemies, even the toughest bosses.

COMPREHENSIVE REFERENCE: Exhaustive appraisals of all items and monsters – including key parameters that are hidden in the game.

EXTRA LARGE MAP POSTER: covering the entire game world.

QUALITY CONTROL: carefully designed to avoid unnecessary story spoilers.
release date: Jun 27, 2017
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The Art of Persona 5

Character Gallery: Includes compelling artwork of the main characters and their personas, plus personal data never before released in English!

Concept Art: Loaded with initial character concepts, rough sketches, original drafts, and illustrations—a must-have for Persona fans!

Game Visuals: Chronicles the inspiration behind graphics seen in the game, including setting illustrations, story scenarios, and other key images.

Illustration Gallery: Magazine covers and posters collected in one convenient location.

Creator Commentary: Interspersed with exclusive details and little-known tidbits straight from character creator Shigenori Soejima!

release date: Jul 01, 2015
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Cracking the Coding Interview: 189 Programming Questions and Solutions
I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer.

Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book.

Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE?
  • 189 programming interview questions, ranging from the basics to the trickiest algorithm problems.
  • A walk-through of how to derive each solution, so that you can learn how to get there yourself.
  • Hints on how to solve each of the 189 questions, just like what you would get in a real interview.
  • Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen.
  • Extensive coverage of essential topics, such as big O time, data structures, and core algorithms.
  • A behind the scenes look at how top companies like Google and Facebook hire developers.
  • Techniques to prepare for and ace the soft side of the interview: behavioral questions.
  • For interviewers and companies: details on what makes a good interview question and hiring process.
release date: Nov 18, 2016
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Deep Learning (Adaptive Computation and Machine Learning series)

"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 SpaceX

Deep 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.

release date: Feb 21, 2017
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The Legend of Zelda: Art & Artifacts
The Legend of Zelda™: Art and Artifacts contains over four hundred pages of fully realized illustrations from the entire thirty-year history of The Legend of Zelda™ including artwork from the upcoming The Legend of Zelda™: Breath of the Wild! Every masterwork is printed on high-quality paper in an oversized format so you can immerse yourself in the fine details of each piece. This book includes rare promotional pieces, game box art, instruction booklet illustrations, official character illustrations, sprite art, interviews with the artists, and much, much more! The Legend of Zelda™: Art and Artifacts collects many of your favorite masterpieces from the storied franchise, as well as rare and never before seen content, presented in one handsome hardcover.

Select artwork from the entirety of the franchise!
 
A nostalgic look at the past!
 
An exciting look at the future!
 
Interviews with some of the artists behind The Legend of Zelda™ series!
release date: Jan 04, 2016
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CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Exams 220-901 & 220-902)

This bestselling on-the-job reference and test preparation guide has been fully revised for the new 2015 CompTIA A+ exam objectives for exams 901 & 902

Written by the leading authority on CompTIA A+ certification and training, this self-study book and CD has been thoroughly updated to cover 100% of the exam objectives on the 2015 CompTIA A+ exams. New topics include managing and maintaining cellular devices, including tablets; configuring operating systems, including Windows 8, Android, and iOS; and enhanced, mobile-centered security and troubleshooting procedures. The All-in-One Exam Guide enables you to take the test with complete confidence. It also serves as a practical reference for IT support and technical personnel.

Electronic content includes:

  • Practice exams download for both exam 901 and 902 with hundreds of accurate practice exam questions
  • More than an hour of online video training featuring Mike Meyers
  • Online performance-based simulations that prepare you for the performance-based exam questions
  • A link to Mike's favorite PC tools
  • A PDF copy of the book

Key Features:

  • Written with the “in the trenches” voice and clarity Mike Meyers is known for
  • Features pre-assessment tests, exam tips, and “Try This!” sections to reinforce difficult topics
  • Includes a coupon for 10% off of the exam fee, a $37 value
release date: Mar 01, 2017
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The Death of Expertise: The Campaign Against Established Knowledge and Why it Matters
People are now exposed to more information than ever before, provided both by technology and by increasing access to every level of education. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything: with only a quick trip through WebMD or Wikipedia, average citizens believe themselves to be on an equal intellectual footing with doctors and diplomats. All voices, even the most ridiculous, demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.

As Tom Nichols shows in The Death of Expertise, this rejection of experts has occurred for many reasons, including the openness of the internet, the emergence of a customer satisfaction model in higher education, and the transformation of the news industry into a 24-hour entertainment machine. Paradoxically, the increasingly democratic dissemination of information, rather than producing an educated public, has instead created an army of ill-informed and angry citizens who denounce intellectual achievement.

Nichols has deeper concerns than the current rejection of expertise and learning, noting that when ordinary citizens believe that no one knows more than anyone else, democratic institutions themselves are in danger of falling either to populism or to technocracy-or in the worst case, a combination of both. The Death of Expertise is not only an exploration of a dangerous phenomenon but also a warning about the stability and survival of modern democracy in the Information Age.
release date: Mar 14, 2017
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World of Warcraft Chronicle Volume 2
Blizzard Entertainment and Dark Horse Books are thrilled to present the next installment of the wildly popular World of Warcraft Chronicle series. Volume 2 will reveal more sought-after details about the game universe's history and mythology. Showcasing lush, all-new artwork from fan favorites such as Peter Lee, Joseph Lacroix, and Alex Horley, this tome is sure to please all fans--casual and collector alike.
release date: Apr 17, 2017
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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.

The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

release date: Apr 09, 2017
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

  • Explore the machine learning landscape, particularly neural nets
  • Use scikit-learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the TensorFlow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets
  • Apply practical code examples without acquiring excessive machine learning theory or algorithm details
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