Reviews
I have not read all of it, but compared with the previous machine-learning book, the equations have improved a lot and the translation is better too. If you have the time, I recommend studying it.
A book you cannot preview before buying. The bookstore said it was because the publisher had shrink-wrapped it. So you either buy it based on a guess or do not buy it… That is why I checked “It keeps you focused.” If I do get a chance to see the contents, I will definitely update this review.
Kevin Murphy: Probabilistic Machine Learning: Basics
This is a foundational book on machine learning. The author, Kevin Murphy, is a renowned scholar who taught at the University of British Columbia before leading a team at Google DeepMind. His books on machine learning have been widely loved by readers. This book covers not only deep learning but also a broad range of foundational mathematics and methods for studying machine learning. It is an excellent choice for readers who want to deepen their understanding of the field.
Korean title: 확률론적 머신러닝: 기본편
Korean author: 케빈 머피
Korean publisher: 에이콘출판
ISBN-13: 9791161758206
Reviews
I have not read all of it, but compared with the previous machine-learning book, the equations have improved a lot and the translation is better too. If you have the time, I recommend studying it.
A book you cannot preview before buying. The bookstore said it was because the publisher had shrink-wrapped it. So you either buy it based on a guess or do not buy it… That is why I checked “It keeps you focused.” If I do get a chance to see the contents, I will definitely update this review.
