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1-12 sur 12 résultats pour « tomasz burzykowski »
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  • Explanatory Model Analysis

    Explore, Explain, and Examine Predictive Models

    par Przemyslaw Biecek, Tomasz Burzykowski ...
    Collections series Chapman & Hall/CRC Data Science Series
    Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of ... En savoir plus

    $100.99 CAD

  • Linear Mixed-Effects Models Using R

    A Step-by-Step Approach

    par Andrzej Gałecki, Tomasz Burzykowski ...
    Collections series Mathematics and Statistics (R0)
    Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state ... En savoir plus

    $140.99 CAD

  • Applied Surrogate Endpoint Evaluation Methods with SAS and R

    par Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst ...
    Collections series Chapman & Hall/CRC Biostatistics Series
    An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate endpoint that can be measured in a more convenient or cost-effective way. This book focuses on the use ... En savoir plus

    $79.99 CAD

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  • Deep Learning Fundamentals in Python

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

    par 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 ... En savoir plus

    $13.10 CAD

  • Python Machine Learning

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

    par 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 ... En savoir plus

    $41.99 CAD ou Gratuit avec Kobo Plus

  • 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.

    par 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 ... En savoir plus

    $51.99 CAD ou Gratuit avec Kobo Plus

  • Machine Learning with R

    Expert techniques for predictive modeling to solve all your data analysis problems

    par Brett Lantz ...
    Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Data Mining and Statistics for Decision Making

    par Stéphane Tufféry ...
    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover ... En savoir plus

    $117.99 CAD

  • Machine Learning with R

    Expert techniques for predictive modeling

    par Brett Lantz ...
    Solve real-world data problems with R and machine learningKey FeaturesThird edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyondHarness the power of R to build flexible, effective, and transparent machine learning modelsLearn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook ... En savoir plus

    $51.99 CAD ou Gratuit avec Kobo Plus

  • Python: Advanced Predictive Analytics

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

    par 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 ... En savoir plus

    $87.99 CAD ou Gratuit avec Kobo Plus

  • Python Deep Learning

    Next generation techniques to revolutionize computer vision, AI, speech and data analysis

    par Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...
    Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... En savoir plus

    $51.99 CAD ou Gratuit avec Kobo Plus

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    par John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... En savoir plus

    $95.99 CAD