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  • The Art of R Programming

    A Tour of Statistical Software Design

    R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic ... Leer más

    $23.99 USD

  • The Art of Machine Learning

    A Hands-On Guide to Machine Learning with R

    Learn to expertly apply a range of machine learning methods to real data with this practical guide.Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math.As you work through the book, you’ll learn how to implement a range of powerful ML techniques, starting ... Leer más

    $29.99 USD

  • The Art of Debugging with GDB, DDD, and Eclipse

    Debugging is crucial to successful software development, but even many experienced programmers find it challenging. Sophisticated debugging tools are available, yet it may be difficult to determine which features are useful in which situations. The Art of Debugging is your guide to making the debugging process more efficient and effective.The Art of Debugging illustrates the use three of the most ... Leer más

    $23.99 USD

  • Parallel Computing for Data Science

    With Examples in R, C++ and CUDA

    Series series Chapman & Hall/CRC The R Series
    This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many ... Leer más

    $70.99 USD

  • Statistical Regression and Classification

    From Linear Models to Machine Learning

    Series series Chapman & Hall/CRC Texts in Statistical Science
    This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses math stat very sparingly and always in the context of something concrete, which means that readers can skip the math stat content entirely if they wish. The extras section is for those who feel ... Leer más

    $107.99 USD

  • Probability and Statistics for Data Science

    Math + R + Data

    Series series Chapman & Hall/CRC Data Science Series
    Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously:* Real datasets are used extensively.* All data analysis is supported by R coding.* Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, ... Leer más

    $89.99 USD

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  • A Course in Statistics with R

    Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in ... Leer más

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  • Microeconometrics and MATLAB: An Introduction

    This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code. The book ... Leer más

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  • R: Predictive Analysis

    Master the art of predictive modelingAbout This BookLoad, wrangle, and analyze your data using the world's most powerful statistical programming languageFamiliarize yourself with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, Naive Bayes, decision trees, text mining and so on.We emphasize important concepts, such as the bias-variance trade-off ... Leer más

    $64.99 USD o gratis con Kobo Plus

  • Statistics for Mathematicians

    A Rigorous First Course

    Series series Mathematics and Statistics (R0)
    This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an ... Leer más

    $76.99 USD

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    Through a recent series of 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 bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Leer más

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  • Algorithms

    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