Full Description
This introductory text builds a bridge between mathematical foundations and machine learning algorithms. Assuming only a basic background in mathematics, statistics, and scientific computing, it develops the key concepts underlying machine learning through three fundamental questions: Which samples are important? Which features are important? How can we generate new samples? Topics include support vector machines, sparse learning, optimization, information theory, and generative models.
Emphasizing mathematical understanding rather than black-box use of software, the book is suitable for advanced undergraduate students, beginning graduate students, and practitioners seeking a rigorous introduction to machine learning.
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- DVD
- 君への挽歌
