{"product_id":"random-matrix-methods-for-machine-learning-9781009123235","title":"Random Matrix Methods for Machine Learning","description":"\u003cp\u003e • Author(s): Romain Couillet | Zhenyu Liao\u003cbr\u003e • Publisher: Cambridge University Press\u003cbr\u003e • Publisher Imprint: Cambridge University Press\u003cbr\u003e • BISAC: Artificial Intelligence - Computer Vision \u0026amp; Pattern Recognit\u003c\/p\u003e\u003cp\u003eThis book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world machine learning algorithms. The book opens with a thorough introduction to the theoretical basics of random matrices, which serves as a support to a wide scope of applications ranging from SVMs, through semi-supervised learning, unsupervised spectral clustering, and graph methods, to neural networks and deep learning. For each application, the authors discuss small- versus large-dimensional intuitions of the problem, followed by a systematic random matrix analysis of the resulting performance and possible improvements. All concepts, applications, and variations are illustrated numerically on synthetic as well as real-world data, with MATLAB and Python code provided on the accompanying website.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Hardcover","offer_id":46416909172887,"sku":"9781009123235","price":9094.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781009123235.webp?v=1769065194","url":"https:\/\/atlanticbooks.com\/products\/random-matrix-methods-for-machine-learning-9781009123235","provider":"Atlantic Books","version":"1.0","type":"link"}