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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World |  |
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World | |
网友对The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World的评论
书品质量很好！语言非常浅显易懂，不是艰涩的技术书，值得大家看看。
I picked up this book because it was on the recommended list from Bill Gates. The book starts out well in terms on framing the different approaches to machine learning but the author fails to communicate why a certain approach excels. This book is neither for non-professional machine learner nor for an amateur machine learner nor for a professional in any of the different branches of machine learning. Feels like introductory chapter of Author's PhD thesis expanded unnecessarily.
Took me a while to decide whether to give three or four stars. On one side, the book explains the five schools of thought to machine learning and does with great detail. On the other hand, after starting off with an adequate level (from my view anyway, I hold a masters degree in telecom engineering) it became more and more obscure, to the point where I found myself skipping some of the explanations in the last chapters hoping to come to the end where the author would recap and resume it all in clearer terms. I guess the matter is complex enough that requires careful reading, meaning re-reading chapters two, three times and often coming back to where you started to feel lost. That's my only critique and considering it may be my lack of energy to do this, I think it well deserves four stars.
The author definitely gained me back at the last chapter, a good resume of what AI and machine learning means, what isn't and what holds for the future. The recommended readings chapter is full of materials to keep learning, which i might do as this is one of the few areas today where everything can still be done.
AWESOME OVERVIEW OF ML IDEAS
I have read a few textbooks on machine learning (intro to Statistical Learning by Hastie etc) and so I would say that my knowledge of ML is at the "textbook overview" level. Since I am not a ML practitioner, I may not be the best judge of a book such as this one, it was a fairly difficult read, and I know I need to read the book a second time to get an even greater appreciation and understanding of the concepts covered by the author. That being said, it was a very enjoyable book. The book was very different from any ML book that I've read or checked out either at a bookstore or online. I think one needs to have some knowledge of ML to appreciate the book - concepts like supervised learning, unsupervised learning, Bayesian inference, support vector machines, neural networks, etc .... The book deserves a 5-star rating because it added a lot of value to my understanding of ML, and increased my desire and curiosity to learn more about the field of ML ....
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