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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Conce...
by Aurélien Géron

Language

English

Pages

572

Publication Date

March 13, 2017

Product Description
Customer Reviews
<div><p><b>Graphics in this book are printed in black and white</b>.</p><p>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.</p><p>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.</p><ul><li>Explore the machine learning landscape, particularly neural nets</li><li>Use scikit-learn to track an example machine-learning project end-to-end</li><li>Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods</li><li>Use the TensorFlow library to build and train neural nets</li><li>Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning</li><li>Learn techniques for training and scaling deep neural nets</li><li>Apply practical code examples without acquiring excessive machine learning theory or algorithm details</li></ul></div>
Weapons of Math Destruction: How Big Data Increases Inequality an...
by Cathy O'Neil

Language

English

Pages

290

Publication Date

September 06, 2016

Product Description
Customer Reviews
<b><i>Longlisted for the National Book Award<br /></i>New York Times <i>Bestseller</i><br /><br />A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric</b><br /><br />We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.<br /><br />But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.<br /><br />Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.<br /><br />O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.<br /><br />— Longlist for National Book Award (Non-Fiction)<br />— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)<br />— Kirkus, Best Books of 2016<br />— <i>New York Times,</i> 100 Notable Books of 2016 (Non-Fiction)<br />— <i>The Guardian</i>, Best Books of 2016<br />— WBUR's "On Point," Best Books of 2016: Staff Picks<br />— Boston Globe, Best Books of 2016, Non-Fiction
The Self-Taught Programmer: The Definitive Guide to Programming P...
by Cory Althoff

Language

English

Pages

301

Publication Date

December 26, 2016

Product Description
Customer Reviews
I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book. <br /><br />This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don't teach you. "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into six sections: <br /><br />1. Learn to program in Python 3 and build your first program. <br />2. Learn Object-oriented programming and create a powerful Python program to get you hooked. <br />3. Learn to use tools like Git, Bash, regular expressions and databases. Then use your new coding skills to build a web scraper. <br />4. Study Computer Science fundamentals including computer architecture, data structures, algorithms and network programming. <br />5. Learn to program for production: I cover the software development process, testing, and best coding practices.<br />6. Finish with tips for working with a team and landing a programming job.<br /><br />You CAN learn to program professionally. The path is there. Will you take it?
CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Ex...
by Mike Meyers

Language

English

Pages

1508

Publication Date

January 07, 2016

Product Description
Customer Reviews
<h4>This bestselling on-the-job reference and test preparation guide has been fully revised for the new 2015 CompTIA exam objectives for exams 901 & 902</h4> <p>Written by the leading authority on CompTIA A+ certification and training, this self-study set has been thoroughly updated to cover 100% of the topics covered on the latest edition of the exam. 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 <em>All-in-One Exam Guide</em> enables you to take the test with complete confidence. It also serves as a practical reference for IT support and technical personnel.</p> <p><strong>Bonus electronic content includes:</strong></p> <ul><li>Practice exams with hundreds of accurate questions</li> <li>More than an hour of video training featuring Mike Meyers</li> <li>Performance-based simulations that prepare you for the performance-based questions on the exam</li> <li>A collection of Mike's favorite free PC tools</li> </ul> <p><strong>Key Features include:</strong></p> <ul><li>Written with the “in the trenches” voice and clarity Mike Meyers is known for</li> <li>Features pre-assessment tests, exam tips, and “Try This!” sections to reinforce difficult topics</li> <li>Includes a coupon for 10% off of the exam fee, a $37 value</li> </ul>
Data Science on the Google Cloud Platform: Implementing End-to-En...
by Valliappa Lakshmanan

Language

English

Pages

410

Publication Date

December 12, 2017

Product Description
Customer Reviews
<div><p>Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.</p><p>Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.</p><p>You’ll learn how to:</p><ul><li>Automate and schedule data ingest, using an App Engine application</li><li>Create and populate a dashboard in Google Data Studio</li><li>Build a real-time analysis pipeline to carry out streaming analytics</li><li>Conduct interactive data exploration with Google BigQuery</li><li>Create a Bayesian model on a Cloud Dataproc cluster</li><li>Build a logistic regression machine-learning model with Spark</li><li>Compute time-aggregate features with a Cloud Dataflow pipeline</li><li>Create a high-performing prediction model with TensorFlow</li><li>Use your deployed model as a microservice you can access from both batch and real-time pipelines</li></ul></div>
The Big Book of Dashboards: Visualizing Your Data Using Real-Worl...
by , Andy Cotgreave

Language

English

Pages

448

Publication Date

April 24, 2017

Product Description
Customer Reviews
<b>The definitive reference book with real-world solutions you won't find anywhere else</b> <p><i>The</i> <i>Big Book of Dashboards</i> presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards. <p>Comprising dozens of examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and different platforms (print, desktop, tablet, smartphone, and conference room display) <i>The</i> <i>Big Book of Dashboards</i> is the only book that matches great dashboards with real-world business scenarios. <p>By organizing the book based on these scenarios and offering practical and effective visualization examples, <i>The Big Book of Dashboards</i> will be the trusted resource that you open when you need to build an effective business dashboard. <p>In addition to the scenarios there's an entire section of the book that is devoted to addressing many practical and psychological factors you will encounter in your work. It's great to have theory and evidenced-based research at your disposal, but what will you do when somebody asks you to make your dashboard 'cooler' by adding packed bubbles and donut charts? <p>The expert authors have a combined 30-plus years of hands-on experience helping people in hundreds of organizations build effective visualizations. They have fought many 'best practices' battles and having endured bring an uncommon empathy to help you, the reader of this book, survive and thrive in the data visualization world. <p>A well-designed dashboard can point out risks, opportunities, and more; but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. <i>The Big Book of Dashboards</i> gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.
Don't Make Me Think, Revisited: A Common Sense Approach to Web Us...
by Steve Krug

Language

English

Pages

216

Publication Date

December 23, 2013

Product Description
Customer Reviews
Since<i> Don’t Make Me Think </i>was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug’s guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it’s one of the best-loved and most recommended books on the subject.<br /> <br />Now Steve returns with fresh perspective to reexamine the principles that made<i> Don’t Make Me Think</i> a classic–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read.<br /> <br />If you’ve read it before, you’ll rediscover what made <i>Don’t Make Me Think</i> so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.<br /> <br /> <br />“After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book.”<br />–Jeffrey Zeldman, author of Designing with Web Standards <p style="margin: 0px;"> </p>
Code: The Hidden Language of Computer Hardware and Software (Deve...
by Charles Petzold

Language

English

Pages

400

Publication Date

October 11, 2000

Product Description
Customer Reviews
<p>What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. <br /> Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. <br /> It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.
R for Data Science: Import, Tidy, Transform, Visualize, and Model...
by , Garrett Grolemund

Language

English

Pages

522

Publication Date

December 12, 2016

Product Description
Customer Reviews
<div><p>Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.</p><p>Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.</p><p>You’ll learn how to:</p><ul><li><b>Wrangle</b>—transform your datasets into a form convenient for analysis</li><li><b>Program</b>—learn powerful R tools for solving data problems with greater clarity and ease</li><li><b>Explore</b>—examine your data, generate hypotheses, and quickly test them</li><li><b>Model</b>—provide a low-dimensional summary that captures true "signals" in your dataset</li><li><b>Communicate</b>—learn R Markdown for integrating prose, code, and results</li></ul></div>
Amazon Fire HD 8 with Alexa: 333 Tips and Tricks How To Use Your ...
by Justin Turner

Language

English

Pages

79

Publication Date

December 01, 2017

Product Description
Customer Reviews
<h1> Amazon Fire HD 8 with Alexa </h1><br /><h2> Sale price. You will save 66% with this offer. Please hurry up! </h2><br /><h2> 333 Tips and Tricks How To Use Your All-New Fire HD 8 Tablet with Alexa to the Fullest </h2><br />The newest 7th generation Amazon Fire tablets, like Fire HD 8, bring you the most sophisticated design that has yet been available on these affordable devices. With new Alexa integration and an ever larger, better screen than previous generations, there’s a lot that’s new and exciting about this device.<br />The information in this book will tell you everything you need to know to make the most of your new Fire HD 8 Tablet. It covers a range of topics, including:<br /><br /><h2>Here is a preview of what you'll learn:</h2><ul><li> How to set up and navigate your tablet </li><li> Using the Silk browser </li><li> Alexa on Fire HD 8 tablet </li><li> Advantages of the Fire tablet for kids </li><li> Tips and tricks for exploring features and apps</li></ul><br /><br />Fire HD 8 Tablet is perfect for families, students, or anyone who wants to add another way to use Alexa to their home set-up. The information included in this book will make sure you know how to use the full range of features that come installed on this versatile device.<br />Download your copy of <b>" Amazon Fire HD 8 with Alexa "</b> by scrolling up and clicking <b>"Buy Now With 1-Click"</b> button.<br /><br /><br /><br /><br /><br /><br /><br /><br /><br />Tags: Kindle, Kindle Fire HD, Fire HD 8 & 10, Alexa, Kindle Fire TV, Fire Stick, Step-by-Step Instructions, Amazon Fire TV, tips and tricks, Amazon Prime, Movies, TV, Apps, Games & More, Best Kindle Fire HD Apps, All-New Fire User Guide, from Newbie to Expert, Kindle Owners, Free Ebooks, free TV Series, free Movie, ULTIMATE Guide for Beginners, ULTIMATE Guide, Beginners Guide, Prime Music, Prime Subscription, Kindle Owners With Amazon Prime, digital media, digital services, web services, Prime Music, Prime Movies, prime TV.

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Enter the Kind Reader Monthly Drawing

Kind Reader Monthly Drawing (March 2017)

Congratulations to February 2017's winner Henry H. of New York, USA.

There's a daily limit of 3 free e-books that can be downloaded at KindReader.com