{"product_id":"information-theoretic-methods-in-data-science-hardback-9781108427135","title":"Information-Theoretic Methods in Data Science (Hardback) 9781108427135","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eInformation-Theoretic Methods in Data Science\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eThe first unified treatment of the interface between information theory and emerging topics in data science.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMiguel R. D. Rodrigues (Edited by), Yonina C. Eldar (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108427135, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 April 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e560 pages, 74 b\/w illus.\u003cbr\u003e25 x 17.6 x 3.4 cm, 1.1 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eLearn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine learning, and statistics.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction Miguel Rodrigues, Stark Draper, Waheed Bajwa and Yonina Eldar\u003cbr\u003e 2. An information theoretic approach to analog-to-digital compression Alon Knipis, Yonina Eldar and Andrea Goldsmith\u003cbr\u003e 3. Compressed sensing via compression codes Shirin Jalali and Vincent Poor\u003cbr\u003e 4. Information-theoretic bounds on sketching Mert Pillanci\u003cbr\u003e 5. Sample complexity bounds for dictionary learning from vector- and tensor-valued data Zahra Shakeri, Anand Sarwate and Waheed Bajwa\u003cbr\u003e 6. Uncertainty relations and sparse signal recovery Erwin Riegler and Helmut Bölcskei\u003cbr\u003e 7. Understanding phase transitions via mutual Information and MMSE Galen Reeves and Henry Pfister\u003cbr\u003e 8. Computing choice: learning distributions over permutations Devavrat Shah\u003cbr\u003e 9. Universal clustering Ravi Raman and Lav Varshney\u003cbr\u003e 10. Information-theoretic stability and generalization Maxim Raginsky, Alexander Rakhlin and Aolin Xu\u003cbr\u003e 11. Information bottleneck and representation learning Pablo Piantanida and Leonardo Rey Vega\u003cbr\u003e 12. Fundamental limits in model selection for modern data analysis Jie Ding, Yuhong Yang and Vahid Tarokh\u003cbr\u003e 13. Statistical problems with planted structures: information-theoretical and computational limits Yihong Wu and Jiaming Xu\u003cbr\u003e 14. Distributed statistical inference with compressed data Wenwen Zhao and Lifeng Lai\u003cbr\u003e 15. Network functional compression Soheil Feizi and Muriel Médard\u003cbr\u003e 16. An introductory guide to Fano's inequality with applications in statistical estimation Jonathan Scarlett and Volkan Cevher.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Signal processing [\u003ca title=\"See our other books on Signal processing\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Signal%20processing%20%5BUYS%5D%22\"\u003eUYS\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e], Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e], Information theory [\u003ca title=\"See our other books on Information theory\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Information%20theory%20%5BGPF%5D%22\"\u003eGPF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46001501733144,"sku":"9781108427135","price":67.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781108427135i.jpg?v=1696695115","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/information-theoretic-methods-in-data-science-hardback-9781108427135","provider":"Freshly Printed Books","version":"1.0","type":"link"}