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Cracking the Coding Interview: 189 Programming Questions and Solutions

By Gayle Laakmann McDowell

CareerCup
Released: 2015-07-01
Paperback (687 pages)

Cracking the Coding Interview: 189 Programming Questions and Solutions
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Product Description:
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.

CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Exams 220-901 & 220-902)

By Mike Meyers

Meyers Mike
Hardcover (1632 pages)

CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Exams 220-901 & 220-902)
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  • Comptia A Certification All In One Exam Guide Exams 220 901 220 902
Product Description:

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

Deep Learning (Adaptive Computation and Machine Learning series)

By Ian Goodfellow & Aaron Courville

The MIT Press
Hardcover (800 pages)

Deep Learning (Adaptive Computation and Machine Learning series)
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  • The MIT Press
Product Description:

"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.

Adobe Photoshop CC Classroom in a Book (2017 release)

By Andrew Faulkner

Faulkner Andrew
Paperback (400 pages)

Adobe Photoshop CC Classroom in a Book (2017 release)
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  • Adobe Photoshop CC Classroom in a Book 2017 Release
Product Description:

Creative professionals seeking the fastest, easiest, most comprehensive way to learn Adobe Photoshop choose Adobe Photoshop CC Classroom in a Book (2017 release) from Adobe Press. The 15 project-based lessons in this book show users step-by-step the key techniques for working in Photoshop and how to correct, enhance, and distort digital images, create image composites, and prepare images for print and the web.

 

In addition to learning the key elements of the Photoshop interface, this completely revised CC (2017 release) edition covers features like new and improved search capabilities, Content-Aware Crop, Select and Mask, Face-Aware Liquify, designing with multiple artboards, and much more!

 

The online companion files include all the necessary assets for readers to complete the projects featured in each chapter as well as ebook updates when Adobe releases new features for Creative Cloud customers. All buyers of the book get full access to the Web Edition: a Web-based version of the complete ebook enhanced with video and interactive multiple-choice quizzes. As always with the Classroom in a Book, Instructor Notes are available for teachers to download.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

By Aurélien Géron

O Reilly Media
Paperback (568 pages)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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  • O Reilly Media
Product Description:

Graphics in this book are printed in black and white.

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

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

By Seth Stephens-Davidowitz

Stephens Davidowitz Seth
Released: 2017-05-09
Hardcover (352 pages)

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
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  • Everybody Lies Big Data New Data and What the Internet Reveals about Who We Really Are
Product Description:

New York Times Bestseller

Foreword by Steven Pinker, author of The Better Angels of our Nature

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.

By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.

Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?

Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

Shelly Cashman Series Microsoft Office 365 & Office 2016: Introductory

By Misty E. Vermaat, Corinne Hoisington & Mary Z. Last

Course Technology
Paperback (1080 pages)

Shelly Cashman Series Microsoft Office 365 & Office 2016: Introductory
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Discover how to maximize the advantages that the latest version of Microsoft Office offers with the focused approach found in MICROSOFT OFFICE 365 & OFFICE 2016: INTRODUCTORY. This new edition is part of the acclaimed Shelly Cashman Series that has effectively introduced computer skills to millions of students like you. MICROSOFT OFFICE 365 & OFFICE 2016: INTRODUCTORY continues the Series' strong history of innovation with an enhanced learning approach to address your needs, no matter what your learning style. A trademark step-by-step, screen-by-screen approach encourages you to expand your understanding of Microsoft Office 2016 through experimentation, critical thought, and personalization. This new edition delivers the most effective educational materials specifically designed to engage, improve retention, and prepare you for success.

Discovering Statistics Using IBM SPSS Statistics, 4th Edition

By Andy Field

Brand: SAGE Publications Ltd
Paperback (915 pages)

Discovering Statistics Using IBM SPSS Statistics, 4th Edition
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  • Great product!
Product Description:
Unrivaled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field′s comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. It also incorporates powerful new digital developments on the textbook′s companion website.

 

Introduction to Algorithms, 3rd Edition (MIT Press)

By Thomas H. Cormen & Ronald L. Rivest

imusti
Hardcover (1312 pages)

Introduction to Algorithms, 3rd Edition (MIT Press)
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  • MIT Press MA
Product Description:

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.

Computer Networking: A Top-Down Approach (7th Edition)

By James Kurose

Pearson
Hardcover (864 pages)

Computer Networking: A Top-Down Approach (7th Edition)
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Product Description:

For courses in Networking/Communications

 

Motivates readers with a top-down, layered approach to computer networking

Unique among computer networking texts, the Seventh Edition of the popular Computer Networking: A Top Down Approach builds on the author’s long tradition of teaching this complex subject through a layered approach in a “top-down manner.” The text works its way from the application layer down toward the physical layer, motivating readers by exposing them to important concepts early in their study of networking. Focusing on the Internet and the fundamentally important issues of networking, this text provides an excellent foundation for readers interested in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. The Seventh Edition has been updated to reflect the most important and exciting recent advances in networking.





 
 



   

 
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