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

Language

English

Pages

568

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>
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and ...
by Wes McKinney

Language

English

Pages

544

Publication Date

September 25, 2017

Product Description
Customer Reviews
<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.</p><p>Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.</p><ul><li>Use the IPython shell and Jupyter notebook for exploratory computing</li><li>Learn basic and advanced features in NumPy (Numerical Python)</li><li>Get started with data analysis tools in the pandas library</li><li>Use flexible tools to load, clean, transform, merge, and reshape data</li><li>Create informative visualizations with matplotlib</li><li>Apply the pandas groupby facility to slice, dice, and summarize datasets</li><li>Analyze and manipulate regular and irregular time series data</li><li>Learn how to solve real-world data analysis problems with thorough, detailed examples</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 like data structures and algorithms. <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?
APP SECRETS: How To Create A Million Dollar App
by Sean Casto

Language

English

Pages

166

Publication Date

October 13, 2017

Product Description
Customer Reviews
Whether you’re just starting out or already a Fortune 500 giant, App Secrets is for you.<br /><br />App Secrets will show you how to:<br /><br />•Turn Your App Idea into a Million-Dollar Reality<br />•Build Your App Business from the Ground Up and Love What You Do<br />•Escape Your 9-to-5 Job and Live the Life of Your Dreams<br />•Impact the Lives of Millions Across the World<br />•And Lots More…<br /><br />All of the most successful apps, including Candy Crush, Instagram, Airbnb, Uber, and Snapchat incorporate the same fundamental traits. These elements are made easy to understand in what Sean Casto calls “App Secrets,” to drive breakout success and achieve explosive growth. <br /><br />App Secrets uncovers how you can use these same strategies that today's fastest growing apps use to create your own Million Dollar or even a Billion Dollar app. You’ll discover why some die and others succeed so you can avoid big mistakes and develop big winners. You will learn, step-by-step, highly successful methodologies, including:<br /><br />“Skyrocket Downloads Method” - Discover how apps DOUBLE, TRIPLE, or even 10X downloads through strategic organic marketing initiatives. This same method mastered by Flyp and TagFi can turn an app into a global phenomenon.<br /><br />“Viral App Blueprint”- Learn the specific blueprint of how today's smartest apps like Pokemon Go and Uber go viral and become instantly adopted by Millions. <br /><br />“Addiction Framework” – Discover the framework championed by Candy Crush and Snapchat to get people addicted to using your app every day, and making it indispensable.<br />
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.
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>
Designing Bots: Creating Conversational Experiences
by Amir Shevat

Language

English

Pages

348

Publication Date

May 17, 2017

Product Description
Customer Reviews
<div><p>From Facebook Messenger to Kik, and from Slack bots to Google Assistant, Amazon Alexa, and email bots, the new conversational apps are revolutionizing the way we interact with software. This practical guide shows you how to design and build great conversational experiences and delightful bots that help people be more productive, whether it’s for a new consumer service or an enterprise efficiency product.</p><p>Ideal for designers, product managers, and entrepreneurs, this book explores what works and what doesn’t in real-world bot examples, and provides practical design patterns for your bot-building toolbox. You’ll learn how to use an effective onboarding process, outline different flows, define a bot personality, and choose the right balance of rich control and text.<br /></p><ul><li>Explore different bot use-cases and design best practices</li><li>Understand bot anatomy—such as brand and personality, conversations, advanced UI controls—and their associated design patterns</li><li>Learn steps for building a Facebook Messenger consumer bot and a Slack business bot</li><li>Explore the lessons learned and shared experiences of designers and entrepreneurs who have built bots</li><li>Design and prototype your first bot, and experiment with user feedback</li></ul></div>
Interactive Data Visualization for the Web: An Introduction to De...
by Scott Murray

Language

English

Pages

472

Publication Date

August 03, 2017

Product Description
Customer Reviews
<div><p>Create and publish your own interactive data visualization projects on the web—even if you have little or no experience with data visualization or web development. It’s inspiring and fun with this friendly, accessible, and practical hands-on introduction. This fully updated and expanded second edition takes you through the fundamental concepts and methods of D3, the most powerful JavaScript library for expressing data visually in a web browser.</p><p>Ideal for designers with no coding experience, reporters exploring data journalism, and <i>anyone</i> who wants to visualize and share data, this step-by-step guide will also help you expand your web programming skills by teaching you the basics of HTML, CSS, JavaScript, and SVG.</p><ul><li>Learn D3 4.x—the latest D3 version—with downloadable code and over 140 examples</li><li>Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed graphs</li><li>Use smooth, animated transitions to show changes in your data</li><li>Introduce interactivity to help users explore your data</li><li>Create custom geographic maps with panning, zooming, labels, and tooltips</li><li>Walk through the creation of a complete visualization project, from start to finish</li><li>Explore inspiring case studies with nine accomplished designers talking about their D3-based projects</li></ul></div>
macOS Sierra: The Missing Manual: The book that should have been ...
by David Pogue

Language

English

Pages

880

Publication Date

November 29, 2016

Product Description
Customer Reviews
<div><p>With Sierra, Apple brings never-before-seen features to macOS—like Siri voice control, file sharing across all your iOS devices, picture-in-picture mode for iTunes and Safari, and AI photo search. Once again, David Pogue brings his humor and expertise to the #1 bestselling Mac book.</p><p>Whether you’re a developer or a home-user, this guide offers a wealth of detail on Apple’s OS X 10.12 operating system, this new edition covers everything Sierra has to offer.</p><ul><li><b>Perfect for newcomers.</b> Get crystal-clear, jargon-free introduction to the Dock, the macOS folder structure, Safari, Mail, and iCloud.<p/></li><li><b>Go in-depth.</b> Learn how to use key new features such as Optimized Storage, the Universal Clipboard, Siri for Mac, and iCloud Drive Sync.<p/></li><li><b>Get the full story.</b> David Pogue doesn't stop at telling you how to use macOS features. He wants you to know <i>why</i> to use them—and how to avoid common pitfalls.</li></ul></div>

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Gregory RzeczkoIntroduce Yourself
Hello, my name is Gregory Rzeczko, founder of KindReader.com. KindReader.com allows users to find books that fit specifically into their budget. The categories include: Free, Prime, <$1, <$2, <$5, <$10, and <$20. After choosing a price point, users can browse by category with new features that make the process more intuitive. Let me know what you think of KindReader.com and post i...

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