Machine learning is the study of algorithms that learn from data and experience. It is applied in a vast variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential consumer of machine learning.
CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.
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简洁通俗易懂。
评分简洁通俗易懂。
评分还是这种深入浅出的书比大部头来的有帮助，Murphy的推导看不下去= =
评分简洁通俗易懂。
评分简洁通俗易懂。
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