{"product_id":"machine-learning-for-engineers-9781316512821","title":"Machine Learning for Engineers","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book provides an accessible overview of machine learning and signal processing, with clear explanations of the differences between state-of-the-art techniques and more classical methods, demonstration of the links between information-theoretical concepts and their practical engineering relevance, and reproducible examples using Matlab. It is the ideal introduction to machine learning for engineering students of all disciplines. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 450 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 03 November 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Cambridge University Press\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive self-study guide to machine learning, meticulously crafted with engineers in mind, equips students with the essential skills to apply machine learning principles and algorithms to real-world engineering challenges. With a steadfast focus on the interconnections between estimation, detection, information theory, and optimization, it encompasses:\u003cbr\u003e\u003cbr\u003eAn accessible overview of the interplay between machine learning and signal processing, serving as a solid foundation for advanced studies;\u003cbr\u003eClear explanations of the distinctions between state-of-the-art techniques and more traditional methods, empowering students with the knowledge to make informed technique selections;\u003cbr\u003eDemonstrations of the connections between information-theoretical concepts and their practical engineering applications;\u003cbr\u003eReproducible examples utilizing Matlab, enabling hands-on student experimentation.\u003cbr\u003e\u003cbr\u003eAssuming a fundamental grasp of probability and linear algebra, accompanied by lecture slides and solutions for instructors, this serves as an ideal introduction to machine learning for engineering students across all disciplines.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781316512821\u003c\/p\u003e","brand":"OsvaldoSimeone","offers":[{"title":"Hardback","offer_id":44095040258298,"sku":"9781316512821","price":55.63,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1667567068541_book.jpg?v=1668083445","url":"https:\/\/shulphink.com\/products\/machine-learning-for-engineers-9781316512821","provider":"Shulph Ink","version":"1.0","type":"link"}