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Bemærk: Kan leveres før jul.
This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.
Bemærk: Kan leveres før jul.
This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers... Læs mere
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This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and... Læs mere
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The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
Bemærk: Kan leveres før jul.
Bemærk: Kan leveres før jul.
Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and... Læs mere
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This updated second edition describes the intuition behind deep learning innovations without jargon or complexity.... Læs mere
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In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
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This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.