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

Language

English

Pages

576

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>
The Model Thinker: What You Need to Know to Make Data Work for Yo...
by Scott E. Page

Language

English

Pages

398

Publication Date

November 27, 2018

Product Description
Customer Reviews
<div><b>How anyone can become a data ninja</b><br /><br /> From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In <i>The Model Thinker</i>, social scientist Scott E. Page shows us the mathematical, statistical, and computational models--from linear regression to random walks and far beyond--that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. <i>The Model Thinker </i>provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.<br /><br /></div>
Don't Make Me Think, Revisited: A Common Sense Approach to Web Us...
by Steve Krug

Language

English

Pages

210

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>
The Mueller Report
by Robert S. Mueller

Language

English

Pages

716

Publication Date

May 14, 2019

Product Description
Customer Reviews
In the future, "The Mueller Report" may be judged as the most important document of our time. And no matter where you reside on the American political spectrum, you will probably agree that it will have far-reaching implications for the balance of power among the three coequal branches of government that create, administer, and apply the laws of our republic.<br /><br />"From the moment [the report] was published, two separate news universes took shape. In one, the special counsel's report was presented as a smoking-gun chronicle of high crimes and misdemeanours. In the other, it was heralded as a credibility-shredding blow to the president's opponents."—The Atlantic
Python Machine Learning: Learning Python Machine Learning from Sc...
by , AI Sciences Academy

Language

English

Pages

220

Publication Date

April 29, 2019

Product Description
Customer Reviews
<h4>***** BUY NOW (will soon return to 12.99 $) ***** MONEY BACK GUARANTEE BY AMAZON *****</h4><br />Do you want to learn Python and start your first Machine Learning project – but you’ve been intimidated by many theoretical definitions and big words, like supervised and unsupervised learning, and neural networks, which you encountered in other books? Do you like to learn amazing new skills by examples? Would you like to have someone show you, hands-on, how Python works and how to use it to build a machine learning model? Are you interested in a guide that shows you what Python can do, step by step, with lots of examples, accompanied by images of what to expect?<br />If you’ve answered these questions with “yes,” you’ve just found the right book. Our guide to Machine Learning with Python is a detailed manual. It guides you through the Python installation steps; gives instructions on how to work with libraries such as Numpy, Pandas, Matplotlib, Keras, and Tensorflow; and provides a number of algorithms that you can play with until you learn how to write your own. <br />This book has been written for keen and curious beginners like you – for people who can’t spend months reading about this fascinating subject before they get to work. Our guide is plain and simple, and with it – you’ll start working in Python immediately. Let’s create your first machine learning model together!<br />
Building Microservices: Designing Fine-Grained Systems
by Sam Newman

Language

English

Pages

280

Publication Date

February 02, 2015

Product Description
Customer Reviews
<div><p>Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.</p><p>Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You’ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.</p><ul><li>Discover how microservices allow you to align your system design with your organization’s goals</li><li>Learn options for integrating a service with the rest of your system</li><li>Take an incremental approach when splitting monolithic codebases</li><li>Deploy individual microservices through continuous integration</li><li>Examine the complexities of testing and monitoring distributed services</li><li>Manage security with user-to-service and service-to-service models</li><li>Understand the challenges of scaling microservice architectures</li></ul></div>
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and ...
by Wes McKinney

Language

English

Pages

550

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

254

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
Architects of Intelligence: The truth about AI from the people bu...
by Martin Ford

Language

English

Pages

554

Publication Date

November 23, 2018

Product Description
Customer Reviews
<p><b>Financial Times Best Books of the Year 2018</b></p><p><b>TechRepublic Top Books Every Techie Should Read</b></p><h4>Book Description</h4><p>How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?</p><p>Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.</p><p>Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel).</p><p>Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future.</p><p>Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika's thoughts on AI analytics, Geoffrey Hinton's breakthroughs in AI programming and development, and Rana el Kaliouby's insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.</p>
Swipe to Unlock: The Primer on Technology and Business Strategy
by , Neel Mehta

Language

English

Pages

345

Publication Date

September 19, 2017

Product Description
Customer Reviews
<p><b>Authored by Product Managers at Google, Facebook, and Microsoft, </b><i>Swipe to Unlock</i> is a comprehensive guide on the must-know concepts of technology and business strategy. <b>It is a must-read for anyone pursuing product management, design, marketing, consulting or business strategy roles in the tech industry.</b></p><br /><br /><br /><p>This <b>#1 Amazon Business Bestseller won a medal </b>from the <b>North American Book Awards</b> and has been featured in <b>Forbes</b> and <b>Business Insider.</b><i>Swipe to Unlock</i> was touted as <b>"our generation's Rosetta Stone for enabling non-engineers to peer into the technology changing everyday life"</b> by Jeremy Schifeling.</p> <br /><br /><ul><br /><li>How does Spotify determine what songs to recommend to you?</li><br /><li>Why does Amazon offer free shipping with Prime if it loses them money? </li><br /><li>Why did the FBI sue Apple to hack the iPhone?</li><br /><li>How did a single typo take down 20% of the internet?</li><br /><li>Why did Microsoft acquire LinkedIn?</li><br /></ul><br /><br /><p>By answering real-world questions like this, <b><i>Swipe to Unlock</i> gives you a peek under the hood of the technology you use every day, decodes tech's biggest buzzwords, and shows you how technology is changing the society we live in for better or for worse.</b></p><br /><br /><br /><p><b>Topics Covered:</b><br />Software Development, Business Models & Strategies, Economics, Hacking & Security, Hardware & Robots, The Internet, Cloud Computing, Big Data, Hacking & Security, Hardware & Robots, Technology Policy, Future Trends, and much more!</p><br /><br /><br /><p><b>Featured Companies:</b><br />Google, Facebook, Microsoft, Amazon, Apple, Spotify, Uber, Yelp, Tinder, Washington Post, Toyota, Samsung, Salesforce, Quora, Twitter, Tesla, Airbnb, Robinhood, Adobe, Netflix, Target, and many more!</p><br /><br /><br /><p><b>Unlock the answers you need to ace your tech interviews or become a better-educated digital citizen. Buy Swipe to Unlock today to understand why it's a Top Gifted Book of 2018!</b></p>

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