{"product_id":"understanding-machine-learning-1","title":"Understanding Machine Learning: From Theory To Algorithms","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 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 array of central topics that have not been addressed 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 an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.","brand":"None","offers":[{"title":"Couverture rigide","offer_id":46536526299346,"sku":"9781107057135","price":85.95,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_b4e5680d-3679-4326-9289-e071fc510112.jpg?v=1764387008","url":"https:\/\/www.indigo.ca\/fr\/products\/understanding-machine-learning-1","provider":"Indigo","version":"1.0","type":"link"}