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Jun 20, 2024 · Discover Machine Learning Refined, 2nd Edition, Jeremy Watt, HB ISBN: 9781108480727 on Higher Education from Cambridge.
- Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
- 2016
Jeremy produces professional double bass and bass guitar stems from his home studio for film, television and music projects. He also offers location recording and production services for classical musicians.
Jeremy is a machine learning developer, educator, and tinkerer with a wealth of experience building AI systems and helping others build them too. See https://github.com/jermwatt/machine_learning_refined for supplemental features and code corresponding with this textbook.
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- Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
- Preface
- Intended audience and book pedagogy
- What this book is about
- Overview of the book
- Readers: how to use this book
- Instructors: how to use this book
In the last decade the user base of machine learning has grown dramatically. From a rel-atively small circle in computer science, engineering, and mathematics departments the users of machine learning now include students and researchers from every corner of the academic universe, as well as members of industry, data scientists, entrepreneurs, and ...
This book was written for readers interested in understanding the core concepts of ma-chine learning from first principles to practical implementation. To make full use of the text one only needs a basic understanding of linear algebra and calculus (i.e., vec-tor and matrix operations as well as the ability to compute the gradient and Hessian of a ...
The core concepts of our treatment of machine learning can be broadly summarized in four categories. Predictive learning, the first of these categories, comprises two kinds of tasks where we aim to either predict a continuous valued phenomenon (like the future location of a celestial body), or distinguish between distinct kinds of things (like diff...
This book is separated into three parts, with the latter parts building thematically on each preceding stage.
As mentioned earlier, the only technical prerequisites for the effective use of this book are a basic understanding of linear algebra and vector calculus, as advanced concepts are introduced as necessary throughout the text, as well as some prior com-puter programming experience. Readers can find a brief tutorial on the Python and MATLAB/OCTAVE pro...
The contents of this book have been used for a number of courses at Northwestern University, ranging from an introductory course for senior level undergraduate and be-ginning graduate students, to a specialized course on advanced numerical optimization for an audience largely consisting of PhD students. Therefore, with its treatment of foun-dations...
Jan 9, 2020 · Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos. Cambridge University Press, Jan 9, 2020 - Computers - 594 pages. With its intuitive yet rigorous approach to machine learning, this...
Cambridge University Press 978-1-108-48072-7 — Machine Learning Refined, 2nd ed. Jeremy Watt , Reza Borhani , Aggelos K. Katsaggelos Index More Information
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