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Showing 1 - 12 of 12 results for “joe suzuki”
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  • Graphical Models and Causal Discovery with R

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information ... Read more

    $58.49 USD

  • Graphical Models and Causal Discovery with Python

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Mathematics and Statistics (R0)
    Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information ... Read more

    $58.49 USD

  • Kernel Methods for Machine Learning with Math and R

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience. This textbook addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building R programs.The book’s main features are as follows:The content is written in an easy-to-follow and self ... Read more

    $44.99 USD

  • Kernel Methods for Machine Learning with Math and Python

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience. This textbook addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python programs.The book’s main features are as follows:The content is written in an easy-to-follow and self ... Read more

    $44.99 USD

  • WAIC and WBIC with R Stan

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. ... Read more

    $49.49 USD

  • WAIC and WBIC with Python Stan

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Intelligent Technologies and Robotics (R0)
    Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. The ... Read more

    $49.49 USD

  • Sparse Estimation with Math and Python

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building Python programs.Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with ... Read more

    $40.49 USD

  • Sparse Estimation with Math and R

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with ... Read more

    $31.49 USD

  • Statistical Learning with Math and Python

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read ... Read more

    $40.49 USD

  • Statistical Learning with Math and R

    100 Exercises for Building Logic

    by Joe Suzuki ...
    Series series Computer Science (R0)
    The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further ... Read more

    $40.49 USD

  • Advanced Methodologies for Bayesian Networks

    Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings

    Edited by Joe Suzuki, Maomi Ueno ...
    Series series Springer Nature Proceedings Computer Science
    This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015.The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), ... Read more

    $49.49 USD

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  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    by Ronald T. Kneusel ...
    Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning.You’ll work through Python examples to learn key deep learning related topics in probability, statistics, ... Read more

    $29.99 USD