Jump to ContentJump to Main Navigation
Fundamentals of Machine Learning - Oxford Scholarship Online
Users without a subscription are not able to see the full content.

Fundamentals of Machine Learning

Thomas P. Trappenberg

Abstract

Machine learning is exploding, both in research and for industrial applications. This book aims to be a brief introduction to this area given the importance of this topic in many disciplines, from sciences to engineering, and even for its broader impact on our society. This book tries to contribute with a style that keeps a balance between brevity of explanations, the rigor of mathematical arguments, and outlining principle ideas. At the same time, this book tries to give some comprehensive overview of a variety of methods to see their relation on specialization within this area. This includes ... More

Keywords: machine learning, deep learning, Bayesian networks, probabilistic modeling, reinforcement learning

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780198828044
Published to Oxford Scholarship Online: January 2020 DOI:10.1093/oso/9780198828044.001.0001

Authors

Affiliations are at time of print publication.

Thomas P. Trappenberg, author
Professor of Computer Science, Dalhousie University

Show Summary Details

subscribe or login to access all content.