Skip to main content
Search Button
Canada Kobo store Gift Cards Help

Rakuten Kobo

Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


Showing 1 - 12 of 12 results for “norman matloff”
Skip side bar filters

  • The Art of R Programming

    A Tour of Statistical Software Design

    by Norman Matloff ...
    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 ... Read more

    $43.99 CAD

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

    by Norman Matloff, Peter Jay Salzman ...
    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 ... Read more

    $25.99 CAD

  • The Art of Machine Learning

    A Hands-On Guide to Machine Learning with R

    by Norman Matloff ...
    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 ... Read more

    $42.99 CAD

  • Probability and Statistics for Data Science

    Math + R + Data

    by Norman Matloff ...
    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, ... Read more

    $133.99 CAD

  • Parallel Computing for Data Science

    With Examples in R, C++ and CUDA

    by Norman Matloff ...
    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 ... Read more

    $100.99 CAD

  • Statistical Regression and Classification

    From Linear Models to Machine Learning

    by Norman Matloff ...
    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 ... Read more

    $136.99 CAD

People who read these also enjoyed

  • A Course in Statistics with R

    by Prabhanjan N. Tattar, Suresh Ramaiah, B. G. Manjunath ...
    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 ... Read more

    $117.99 CAD

  • Microeconometrics and MATLAB: An Introduction

    by Abi Adams, Damian Clarke, Simon Quinn ...
    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 ... Read more

    $72.99 CAD

  • R: Predictive Analysis

    by Tony Fischetti, Eric Mayor, Rui Miguel Forte ...
    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 ... Read more

    $81.99 CAD or Free with Kobo Plus

  • Statistics for Mathematicians

    A Rigorous First Course

    by Victor M. Panaretos ...
    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 ... Read more

    $96.99 CAD

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

    by Aurélien Géron ...
    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) ... Read more

    $77.99 CAD

  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    by Philipp K. Janert ...
    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Read more

    $28.99 CAD