{"product_id":"9781107057135","title":"Understanding Machine Learning : From Theory to Algorithms by Shai Shalev-Shwartz","description":"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 a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.\u003cbr\u003eBinding: Hardback","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56296420245877,"sku":"9781107057135","price":53.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781107057135.jpg?v=1762771353","url":"https:\/\/backstory.london\/products\/9781107057135","provider":"Backstory","version":"1.0","type":"link"}