Skip to main content
Search Button
United States 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 “pierre andre cornillon”
Skip side bar filters

  • R for Statistics

    by Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, Laurent Rouvière ...
    Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics in ... Read more

    $79.99 USD

  • Nonparametric Statistics

    3rd ISNPS, Avignon, France, June 2016

    Edited by Patrice Bertail, Delphine Blanke, Pierre-André Cornillon, Eric Matzner-Løber ...
    Series series Springer Nature Proceedings excluding Computer Science
    This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel ... Read more

    $143.09 USD

People who read these also enjoyed

  • 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

    $55.49 USD

  • Deep Learning Fundamentals in Python

    Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

    by Lazy Programmer ...
    Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a ... Read more

    $9.65 USD

  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    by Sebastian Raschka ...
    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... Read more

    $37.79 USD or Free with Kobo Plus

  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    by Sebastian Raschka, Vahid Mirjalili, Jared Huffman, Ryan Sun ...
    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the ... Read more

    $34.19 USD or Free with Kobo Plus

  • Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

    by Robert Knell ...
    R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and ... Read more

    $8.02 USD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    by Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

    $55.49 USD

  • Deep Learning

    A Practitioner's Approach

    by Josh Patterson, Adam Gibson ...
    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning ... Read more

    $36.79 USD

  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    by Giuseppe Bonaccorso ...
    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.39 USD or Free with Kobo Plus

  • The Book of R

    A First Course in Programming and Statistics

    by Tilman M. Davies ...
    The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple ... Read more

    $35.99 USD

  • Python: Advanced Predictive Analytics

    Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

    by Ashish Kumar, Joseph Babcock ...
    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... Read more

    $71.99 USD or Free with Kobo Plus