{"product_id":"understanding-machine-learning-from-theory-to-algorithms-9781107057135","title":"Understanding Machine Learning: From Theory to Algorithms","description":"\u003cp\u003e\u003cstrong\u003eUnderstanding Machine Learning: From Theory to Algorithms\u003c\/strong\u003e van Shai Shalev-Shwartz, Shai Ben-David is een Engelstalig gedrukt boek. Deze titel is geschikt voor studenten in het hoger onderwijs.\u003c\/p\u003e\u003cp\u003eMachine 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.\u003c\/p\u003e\u003cp\u003eMachine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners.\u003c\/p\u003e\u003cp\u003eIntroduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.\u003c\/p\u003e\u003cp\u003eInhoudelijk sluit dit boek aan bij onderwerpen als Machine learning, COMPUTERS \/ Data Science \/ Machine Learning, Computing: Textbooks \u0026amp; Study Guides.\u003c\/p\u003e","brand":"Intertaal","offers":[{"title":"Default Title","offer_id":56398530478420,"sku":"9781107057135","price":67.43,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0967\/0538\/0692\/files\/9781107057135.jpg?v=1783608432","url":"https:\/\/intertaalid.nl\/fr\/products\/understanding-machine-learning-from-theory-to-algorithms-9781107057135","provider":"Intertaal","version":"1.0","type":"link"}