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    Browsing by Author Kevin P. Murphy

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    • TVS.003920_AI310. (Adaptive Computation and Machine Learning) Kevin P. Murphy - Machine Learning_ A Probabilistic Perspective-The MIT Press (2012)-1.pdf.jpg
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    • Machine learning : a probabilistic perspective

      • Authors: Kevin P. Murphy (2012)

    • The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics.
    • TVS.006875_(Adaptive Computation and Machine Learning) Kevin P. Murphy - Probabilistic Machine Learning_ An Introduction-The MIT Press (2022)-GT.pdf.jpg
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    • Probabilistic machine learning : an introduction

      • Authors: Kevin P. Murphy (2022)

    • "This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"