{"product_id":"9783032113139","title":"Matrix Methods in Data Analysis","description":"\u003ch3\u003eTexts in Applied Mathematics\u003c\/h3\u003e\u003ch1\u003eMatrix Methods in Data Analysis\u003c\/h1\u003e\u003ch3\u003eMaria Isabel Bueno Cachadina | Javier Perez Alvaro\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Algebra \/ Linear\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"x_MsoNormal\"\u003e\u003cspan data-olk-copy-source=\"MessageBody\"\u003eThis textbook offers a fresh and balanced approach to the study of Linear Algebra in the context of modern Data Science. Whereas many existing texts either emphasize theory with little connection to practice or jump straight to applications with minimal mathematical explanation, this book provides equal weight to both foundations and applications.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"x_MsoNormal\"\u003eDesigned for undergraduates who have completed a proof-based Linear Algebra course, it introduces concepts and tools from Matrix Analysis that are essential for Data Science and Machine Learning. Topics include:\u003c\/p\u003e\r\n\u003cul type=\"disc\"\u003e\r\n\u003cli class=\"x_MsoNormal\"\u003eVector norms and distances, orthogonality, and projections\u003c\/li\u003e\r\n\u003cli class=\"x_MsoNormal\"\u003eMatrix factorizations such as LU, CR, QR, and SVD\u003c\/li\u003e\r\n\u003cli class=\"x_MsoNormal\"\u003eSpecial matrix types: symmetric, positive definite, nonnegative, stochastic, and covariance matrices\u003c\/li\u003e\r\n\u003cli class=\"x_MsoNormal\"\u003eKey numerical algorithms, including the QR algorithm and the Power Method\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\u003cp class=\"x_MsoNormal\"\u003eEach chapter is enriched with real-world applications—from Google PageRank and Principal Component Analysis to clustering, dimensionality reduction, and linear regression—highlighting the role of matrix methods in Data Science.\u003c\/p\u003e\r\n\u003cp class=\"x_MsoNormal\"\u003eTo further support hands-on learning, the book is accompanied by a GitHub repository with Python labs, allowing students to implement the techniques covered and bridge the gap between theory and computation.\u003c\/p\u003e\r\n\u003cp class=\"x_MsoNormal\"\u003eWith its clear explanations, practical insights, and balance of theory and application, \u003cem\u003eMatrix Methods in Data Analysis\u003c\/em\u003e is an invaluable resource for courses in applied Linear Algebra, Data Science, and introductory Machine Learning.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cspan data-olk-copy-source=\"MessageBody\"\u003eMaria Isabel Bueno is a Teaching Professor at the University of California, Santa Barbara, where she has served since 2006. She holds a Ph.D. from Universidad Carlos III de Madrid. Her research focuses on linear algebra and numerical linear algebra.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"x_MsoNormal\" data-olk-copy-source=\"MessageBody\"\u003eJavier Perez Alvaro is an Associate Professor at the University of Montana in Missoula, where he has served since 2017. He earned his Ph.D. from Universidad Carlos III de Madrid. His research focuses on numerical linear algebra and numerical analysis.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e03 September 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032113139\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44676792909964,"sku":"9783032113139","price":107.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032113139.jpg?v=1781056844","url":"https:\/\/lateknightbooks.com\/products\/9783032113139","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}