Machine Learning Refined
Foundations, Algorithms, and Applications
By Jeremy Watt,Reza Borhani,Aggelos Katsaggelos | Publisher: Cambridge University Press
About the book
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.
Editions of Machine Learning Refined
- Hardcover
- ISBN 9781108480727
Read an Excerpt
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.
Frequently Asked Questions
What is Machine Learning Refined about?
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.
What core themes, tropes, or subjects are explored in Machine Learning Refined?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Communications engineering / telecommunications
Where can I read a sample of Machine Learning Refined?
You can read an official preview of the few pages here https://www.book2look.com/book/9781108480727
Who is/are the Author/s of the book Machine Learning Refined?
Jeremy Watt,Reza Borhani,Aggelos Katsaggelos
What are the ISBN numbers for the physical and digital editions?
Machine Learning Refined is available as hardcover(ISBN 9781108480727)