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Understanding Machine Learning: From Theory to Algorithms
by Shalev-Shwartz, Shai, Ben-David, Shai
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Rating: 4.0
Total Reviews: 75
Results Understanding Machine Learning: From Theory to Algorithms
Understanding Machine Learning From Theory to Algorithms ~ Understanding Machine Learning Machine learning is one of the fastest growing areas of computer science with farreaching 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
Understanding Machine Learning From Theory to Algorithms ~ Machine learning is one of the fastest growing areas of computer science with farreaching applications The aim of this textbook is to introduce machine learning and the algorithmic paradigms it offers in a principled way
Understanding Machine Learning From Theory to Algorithms ~ This is a timely text on the mathematical foundations of machine learning providing a treatment that is both deep and broad not only rigorous but also with intuition and insight It presents a wide range of classic fundamental algorithmic and analysis techniques as well as cuttingedge research directions
Understanding Machine Learning Guide books ~ Machine learning is one of the fastest growing areas of computer science with farreaching applications The aim of this textbook is to introduce machine learning and the algorithmic paradigms it offers in a principled way
Understanding Machine Learning From Theory to Algorithms ~ is a platform for academics to share research papers
Understanding Machine Learning Lagout ~ Understanding Machine Learning Machine learning is one of the fastest growing areas of computer science with farreaching 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
Customer reviews Understanding Machine ~ Rather than a laundry list of techniques the book starts with a concise and clear introduction to statistical machine learning and then consistently connects those concepts to the main ML algorithms Each chapter is 10 pages or so of crisp math and lean prose
Understanding Machine Learning by Shai ShalevShwartz ~ Cambridge Core Algorithmics Complexity Computer Algebra Computational Geometry Understanding Machine Learning by Shai ShalevShwartz Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites
Understanding Machine Learning 豆瓣 ~ Machine learning is one of the fastest growing areas of computer science with farreaching applications The aim of this textbook is to introduce machine learning and the algorithmic paradigms it offers in a principled way
