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Computer Science (R0) Bogserier

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  • Graphical Models and Causal Discovery with R

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $58.99 USD

  • Sparse Estimation with Math and Python

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $40.49 USD

  • Kernel Methods for Machine Learning with Math and Python

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $44.99 USD

  • Sparse Estimation with Math and R

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $31.49 USD

  • Kernel Methods for Machine Learning with Math and R

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $44.99 USD

  • Statistical Learning with Math and Python

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $40.49 USD

  • Statistical Learning with Math and R

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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 ... Læs mere

    $40.49 USD

  • WAIC and WBIC with R Stan

    100 Exercises for Building Logic

    af Joe Suzuki ...
    Serier serie 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. ... Læs mere

    $49.49 USD

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  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    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, ... Læs mere

    $29.99 USD

  • Schaum's Outline of Abstract Algebra

    Tough Test Questions? Missed Lectures? Not Rnough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get ... Læs mere

    $23.99 USD

  • Numerical Analysis

    Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this ... Læs mere

    $86.39 USD

  • Regularized System Identification

    Learning Dynamic Models from Data

    Serier serie Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Læs mere

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