• Corpus ID: 20541356

Understanding Machine Learning - From Theory to Algorithms

@inproceedings{ShalevShwartz2014UnderstandingML,
  title={Understanding Machine Learning - From Theory to Algorithms},
  author={Shai Shalev-Shwartz and Shai Ben-David},
  year={2014}
}
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide… 
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