2018-03-23 机器学习的书单路径

来自于这本书的书评：

Learning From Data Hardcover – 2012
by Yaser S. Abu-Mostafa

For beginners:
A. For somewhat theoretical approach to machine learning

1. If you have less than a month to study it: Read this book.
2. If you have a semester: Read this book along with lecture series by Yaser's on youtube.

B. For more applied approach to machine learning

1. If you have semester: Go through Andrew Ng's lecture series

For intermediate to advanced:

1. If you have a semester: Read "Machine Learning - A Probabilistic Perspective" by Kevin Murphy (expensive but good reference book).

Other classic machine learning textbooks, if you have more time:

1. PRML - Bishop (The first book I read on Machine Learning. Very accessible. More detailed than Yasir's book, but less than Kevin's book)
2. Nature of Statistical Machine Learning - Vapnik (One of the pioneer in this field. Extremely theoretical approach)
3. Elements of Statistical Learning - Hastie et al (free pdf copy available)

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