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Probabilistic Machine Learning - Bok av Kevin P. Murphy - Inbunden

Probabilistic Machine Learning - Bok av Kevin P. Murphy - Inbunden

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement..

SEK 1866.00
1

Machine Learning - A Probabilistic Perspective - Bok av Kevin P. Murphy - Inbunden

Machine Learning - A Probabilistic Perspective - Bok av Kevin P. Murphy - Inbunden

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic..

SEK 1246.00
1

Foundations of Machine Learning - Bok av Mehryar (New York University) Mohri - Inbunden

Foundations of Machine Learning - Bok av Mehryar (New York University) Mohri - Inbunden

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms...

SEK 1036.00
1

Probabilistic Machine Learning - Bok av Kevin P. Murphy - Inbunden

Probabilistic Machine Learning - Bok av Kevin P. Murphy - Inbunden

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural..

SEK 1480.00
1

The Minimum Description Length Principle - Bok av Peter D. (Centrum voor Wiskunde en Informatica) Grunwald - Häftad

The Minimum Description Length Principle - Bok av Peter D. (Centrum voor Wiskunde en Informatica) Grunwald - Häftad

A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data mining, biology, econometrics, and experimental psychology, as well as philosophers interested in the foundations of statistics.

SEK 1186.00
1

Introduction to Algorithms, fourth edition - Bok av Thomas H. Cormen - Inbunden

Introduction to Algorithms, fourth edition - Bok av Thomas H. Cormen - Inbunden

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms..

SEK 1806.00
1