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“drew conway”

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  • Machine Learning for Hackers

    Case Studies and Algorithms to Get You Started

    de Drew Conway, John Myles White ...
    If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy ... Leer más

    $30.99 USD

  • Machine Learning for Email

    Spam Filtering and Priority Inbox

    de Drew Conway, John Myles White ...
    If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional ... Leer más

    $11.99 USD

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  • Machine Learning with R

    R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.

    de Brett Lantz ...
    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • Understanding Machine Learning

    From Theory to Algorithms

    de Shai Shalev-Shwartz, Shai Ben-David ...
    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Leer más

    $61.99 USD

  • Doing Data Science

    Straight Talk from the Frontline

    de Cathy O'Neil, Rachel Schutt ...
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Leer más

    $28.99 USD

  • Programming Collective Intelligence

    Building Smart Web 2.0 Applications

    de Toby Segaran ...
    Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect ... Leer más

    $30.99 USD

  • Practical Machine Learning: Innovations in Recommendation

    de Ted Dunning, Ellen Friedman ...
    Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.Apache Mahout committers Ted Dunning and Ellen Friedman ... Leer más

    $13.99 USD

  • Algorithms

    de Robert Sedgewick, Kevin Wayne ...
    Essential Information about Algorithms and Data StructuresA Classic ReferenceThe latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.Broad CoverageFull treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should ... Leer más

    $65.69 USD

  • Data and Goliath

    The Hidden Battles to Collect Your Data and Control Your World

    de Bruce Schneier ...
    “Bruce Schneier’s amazing book is the best overview of privacy and security ever written.”—Clay ShirkyYour cell phone provider tracks your location and knows who’s with you. Your online and in-store purchasing patterns are recorded, and reveal if you're unemployed, sick, or pregnant. Your e-mails and texts expose your intimate and casual friends. Google knows what you’re thinking because it saves ... Leer más

    $12.99 USD

    Disponible también en: Audiolibro

    Disponible también en: Audiolibro

  • LATIN 2016: Theoretical Informatics

    12th Latin American Symposium, Ensenada, Mexico, April 11-15, 2016, Proceedings

    Edición de Evangelos Kranakis, Gonzalo Navarro, Edgar Chávez ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 12th Latin American Symposium on Theoretical Informatics, LATIN 2016, held in Ensenada, Mexico, in April 2016.The 52 papers presented together with 5 abstracts were carefully reviewed and selected from 131 submissions. The papers address a variety of topics in theoretical computer science with a certain focus on algorithms (approximation, ... Leer más

    $49.99 USD

  • Thoughtful Machine Learning

    A Test-Driven Approach

    de Matthew Kirk ...
    Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms often ... Leer más

    $18.99 USD

  • Developments in Language Theory

    20th International Conference, DLT 2016, Montréal, Canada, July 25-28, 2016, Proceedings

    Edición de Srečko Brlek, Christophe Reutenauer ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 20th International Conference on Developments in Language Theory, DLT 2016, held in Montreal, QC, Canada, in July 2016.The 32 full papers and 4 abstracts of invited papers presented were carefully reviewed and selected from 48 submissions. This volume presents current developments in formal languages and automata, especially from the following topics ... Leer más

    $49.99 USD