Computing

DEEP LEARNING
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By Ian Goodfellow,Yoshua Bengio,Aaron Courville, Francis Bach
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6,80800 6,12720
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "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.
AuthorIan Goodfellow,Yoshua Bengio,Aaron Courville, Francis Bach BindingHardcover
AUTOMATE THE BORING STUFF
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By Al Sweigart
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2,69900 2,42900
The second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. There is no prior programming experience required and the book is loved by liberal arts majors and geeks alike. If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand--no prior programming experience required. You'll learn the basics Python and explore Python's rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks. The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files. You'll learn how to create programs that effortlessly perform useful feats of automation to:   •  Search for text in a file or across multiple files   •  Create, update, move, and rename files and folders   •  Search the Web and download online content   •  Update and format data in Excel spreadsheets of any size   •  Split, merge, watermark, and encrypt PDFs   •  Send email responses and text notifications   •  Fill out online forms Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in  Automate the Boring Stuff with Python, 2nd Edition .
AuthorAl Sweigart BindingPaperback
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By REA
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2,97425 1,63562
Many of REA's acclaimed Test Prep books are also available with our powerful, interactive test preparation software, called TESTware.Each TESTware package includes one of REA's comprehensive Test Prep books, plus timed, full-length, computerized tests that simulate the actual exams. By controlling the order of questions and enforcing time constraints, REA's TESTware makes test preparation more like the actual exams than ever.REA's TESTware automatically scores the user's performance, creates a detailed score report, and suggests areas for further study.When compared with other test prep book and software packages, REA's TESTware offers a number of significant advantages: -- Each book is accompanied by both Windows and Macintosh software.-- A quick, on-screen tutorial gets the user started right away.-- On-screen text is superior in quality. Graphics and mathematical symbols are sharp and clear, and reading passages are easy to read and scroll.-- Pause button allows students to use study time efficiently.-- Students can suspend tests and resume at any time.-- TESTware displays a list of questions featuring their answered or unanswered status, and allows students to mark questions for later review.-- TESTware has the ability to display multiple windows simultaneously, allowing students to view a list of questions, exam directions, questions, and explanations while testing.-- Unlimited toll-free customer and technical support via phone, fax, Internet, or America Online.In sum...REA's TESTware is extremely user-friendly, easy to install, easy to learn, easy to use, and exceptionally helpful.
AuthorREA BindingPaperback
WHAT TO DO WHEN MACHINES DO EVERYTHING
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By Malcolm Frank,Paul Roehrig,Ben Pring
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2,16000 1,46000
The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives Automate, Halos, Enhance, Abundance, and Discovery that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; * Understand the untold full extent of technology's impact on the way we work and live. * Find out where we're headed, and how soon the future will arrive * Leverage the new emerging paradigm into a sustainable business advantage * Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business or your career get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.
AuthorMalcolm Frank,Paul Roehrig,Ben Pring BindingHardcover
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By Scott Berinato
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3,99900 3,19900
A good visualization can communicate the nature and potential impact of ideas more powerfully than any other form of communication.For a long time, "dataviz" was left to specialists--data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. The Harvard Business Review Good Charts Collection brings together two popular books to help you become more sophisticated in understanding and using dataviz to communicate your ideas and advance your career.In Good Charts, dataviz maven and Harvard Business Review editor Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. He lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.In Good Charts Workbook, Berinato extends the usefulness of Good Charts by putting theory into practice. He leads readers step-by-step through several example datasets and basic charts, providing space to practice the Good Charts talk-sketch-prototype process for improving those charts. Examples include a "Discussion Key" showing how to approach the challenge and why. Each challenge focuses on a different, common visualization problem such as simplification, storytelling, creating conceptual charts, and many others.The Harvard Business Review Good Charts Collection is your go-to resource for turning plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.
AuthorScott Berinato BindingPaperback
9781633697317
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By Scott Berinato
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3,99900 3,19900
Communicating your idea in a clear, compelling, and persuasive manner is critical when trying to launch a new venture. This Harvard Business Review collection brings together two popular books to help you craft your story, design better visualizations, impress your audience, and turn your idea into reality. Understanding and using data viz to persuade is a must-have skill for anyone in business today-especiallyy if you're launching a new venture. In good charts, dataviz Maven Scott Berinato provides an essential guide to how visualization works. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. How do you launch the venture of your dreams? In get backed, entrepreneurs evan baehr and evan loomis argue that it's not just about securing start-up funding. It's about building the right relationships, crafting a compelling story, and creating the perfect pitch deck. Filled with proven tips, exercises, and templates, this book shows the process for how to successfully communicate your vision. Good charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas. Get backed will show you exactly what it takes to get funded and will give you the tools to launch a new venture. Together, these books will help you bring your idea to life. Scott Berinato is a self-described "dataviz geek" and a Senior Editor at Harvard Business Review. He has written and edited many articles for HBR and other top business and tech-related print and web publications. Evan Baehr is cofounder of Able, a venture-backed financial services company helping fund the Fortune 5 Million--the millions of small businesses across the United States. Previously he was cofounder of Outbox, a venture-backed start-up aiming to disrupt the US Postal Service. He's run or supported capital campaigns raising hundreds of millions of dollars, including the second largest raise in angel-investor history, and worked for legendary investor Peter Thiel. Evan is also a Venture Partner with StartupRunner Capital. Evan Loomis cofounded and launched TreeHouse, the "Whole Foods version of Home Depot," a home-improvement store in Austin, Texas. He started his career on Wall Street as an investment banker and then as the COO of an angel investment group called Wedgwood Circle, a national angel investment group that seeks to inject goodness, truth, and beauty into the art and entertainment industries. Through these he raised millions of dollars from over thirty angel investors and venture capital firms. His newest venture is StartupRunner Capital, a venture that funds and builds early-stage companies with scalable, repeatable business models.
AuthorScott Berinato BindingPaperback
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