{"product_id":"linear-algebra-and-learning-from-data-gilbert-strang","title":"Linear Algebra and Learning from Data – Gilbert Strang | First Edition | 9780692196380|Hardcover","description":"\u003cp data-path-to-node=\"6\"\u003eMaster the mathematical foundations of the AI revolution with \u003cb data-path-to-node=\"6\" data-index-in-node=\"62\"\u003eLinear Algebra and Learning from Data\u003c\/b\u003e. Written by world-renowned MIT professor Gilbert Strang, this seminal text provides the essential link between classical linear algebra and the modern world of deep learning and data science. At \u003cb data-path-to-node=\"6\" data-index-in-node=\"295\"\u003eNybookshub\u003c\/b\u003e, we are committed to providing the elite academic literature and technical resources that empower students, engineers, and researchers to understand the \"why\" behind today's most powerful algorithms.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"7\"\u003eAbout the Book\u003c\/h3\u003e\n\u003cp data-path-to-node=\"8\"\u003e\u003cb data-path-to-node=\"8\" data-index-in-node=\"0\"\u003eLinear Algebra and Learning from Data\u003c\/b\u003e is the first textbook to teach the mathematics of deep learning from the ground up. Professor Strang transitions seamlessly from the basics of linear algebra—vectors, matrices, and subspaces—to the complex structures of neural networks. This first edition covers indispensable topics such as Singular Value Decomposition (SVD), backpropagation, and stochastic gradient descent. It is an essential volume for anyone looking to go beyond \"black box\" machine learning and develop a rigorous mathematical intuition for how data is processed and learned.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"9\"\u003eWhat You’ll Learn \/ Why Read\u003c\/h3\u003e\n\u003cp data-path-to-node=\"10\"\u003eThis manual equips you with a deep understanding of the five fundamental factorizations of a matrix and their applications in data compression and pattern recognition. You will learn the mechanics of convolutional neural networks (CNNs), the importance of low-rank approximations, and the geometry of high-dimensional data.\u003c\/p\u003e\n\u003cp data-path-to-node=\"11\"\u003eThe book highlights the optimization techniques that allow machines to learn from massive datasets. By engaging with Strang’s famous \"Four Fundamental Subspaces\" framework, you will gain the clarity needed to design and troubleshoot advanced machine learning architectures.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"12\"\u003eAuthor Bio\u003c\/h3\u003e\n\u003cp data-path-to-node=\"13\"\u003e\u003cb data-path-to-node=\"13\" data-index-in-node=\"0\"\u003eGilbert Strang\u003c\/b\u003e is a Professor of Mathematics at the Massachusetts Institute of Technology (MIT). He is a fellow of the American Academy of Arts and Sciences and a recipient of the Chauvenet Prize and the Steele Prize for Exposition. His MIT OpenCourseWare lectures on Linear Algebra have been viewed by millions worldwide, making him one of the most respected and beloved math educators in history.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"14\"\u003eProduct Details\u003c\/h3\u003e\n\u003cul data-path-to-node=\"15\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,0,0\"\u003e\u003cb data-path-to-node=\"15,0,0\" data-index-in-node=\"0\"\u003eAuthor:\u003c\/b\u003e Gilbert Strang\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,1,0\"\u003e\u003cb data-path-to-node=\"15,1,0\" data-index-in-node=\"0\"\u003ePublisher:\u003c\/b\u003e Wellesley-Cambridge Press\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,2,0\"\u003e\u003cb data-path-to-node=\"15,2,0\" data-index-in-node=\"0\"\u003eLanguage:\u003c\/b\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,3,0\"\u003e\u003cb data-path-to-node=\"15,3,0\" data-index-in-node=\"0\"\u003eFormat:\u003c\/b\u003e Hardcover \/ Professional Edition\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,4,0\"\u003e\u003cb data-path-to-node=\"15,4,0\" data-index-in-node=\"0\"\u003eISBN-13:\u003c\/b\u003e 978-0692196380\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,5,0\"\u003e\u003cb data-path-to-node=\"15,5,0\" data-index-in-node=\"0\"\u003eGenre:\u003c\/b\u003e Mathematics \/ Data Science \/ Machine Learning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,6,0\"\u003e\u003cb data-path-to-node=\"15,6,0\" data-index-in-node=\"0\"\u003ePages:\u003c\/b\u003e 430+ pages\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-path-to-node=\"16\"\u003eWhy Buy from Nybookshub\u003c\/h3\u003e\n\u003cp data-path-to-node=\"17\"\u003e\u003cb data-path-to-node=\"17\" data-index-in-node=\"0\"\u003eNybookshub\u003c\/b\u003e is your premier source for authentic, high-level technical and academic literature. We understand that for serious students of technology and mathematics, having the authoritative work of masters like Gilbert Strang is vital. Benefit from our professional service and reliable global shipping to the US, UK, Australia, and beyond. We take pride in delivering the knowledge that powers the future of technology, ensuring every order is handled with the professional care your studies deserve.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"18\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003cp data-path-to-node=\"19\"\u003e\u003cb data-path-to-node=\"19\" data-index-in-node=\"0\"\u003eIs this book suitable for beginners in Linear Algebra?\u003c\/b\u003e While it covers the basics, it moves quickly into advanced topics. It is best suited for those who have had an introductory course or are highly motivated to learn the math specifically for data science.\u003c\/p\u003e\n\u003cp data-path-to-node=\"20\"\u003e\u003cb data-path-to-node=\"20\" data-index-in-node=\"0\"\u003eDoes it cover Deep Learning?\u003c\/b\u003e Yes, the latter half of the book is dedicated to the mathematics of neural networks, including the architecture of layers and the calculus of backpropagation.\u003c\/p\u003e\n\u003cp data-path-to-node=\"21\"\u003e\u003cb data-path-to-node=\"21\" data-index-in-node=\"0\"\u003eIs this the official Wellesley-Cambridge Press edition?\u003c\/b\u003e Yes, this is the authentic first edition published by Professor Strang’s own press, ensuring the highest quality of content and layout.\u003c\/p\u003e\n\u003cp data-path-to-node=\"22\"\u003e\u003cb data-path-to-node=\"22\" data-index-in-node=\"0\"\u003eDoes it include exercises?\u003c\/b\u003e Yes, the book includes thought-provoking problems and exercises at the end of each section to test your understanding of the concepts.\u003c\/p\u003e\n\u003cp data-path-to-node=\"23\"\u003e\u003cb data-path-to-node=\"23\" data-index-in-node=\"0\"\u003eDoes Nybookshub ship technical math books to the UK and Australia?\u003c\/b\u003e We offer secure and tracked international shipping to ensure that researchers and students worldwide can access Professor Strang’s latest work.\u003c\/p\u003e\n\u003cp data-path-to-node=\"24\"\u003eLinear Algebra and Learning from Data, Gilbert Strang, 978-0692196380, MIT Mathematics, Machine Learning Theory, Neural Networks, SVD, Data Science Textbook, Deep Learning Math, Singular Value Decomposition, Nybookshub, Technical Literature, Global Shipping Books, Academic Resources.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003ePeople also read\/purchase:\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/nybookshub.com\/products\/mathematics-for-machine-learning-deisenroth-book?_pos=2\u0026amp;_sid=53074e6e6\u0026amp;_ss=r\" target=\"_blank\" title=\"https:\/\/nybookshub.com\/products\/mathematics-for-machine-learning-deisenroth-book?_pos=2\u0026amp;_sid=53074e6e6\u0026amp;_ss=r\" rel=\"noopener\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003eMathematics for Machine Learning – Deisenroth \u0026amp; Faisal Paperback |9781108455145|\u003c\/span\u003e\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003ca href=\"https:\/\/nybookshub.com\/products\/deep-learning-foundations-and-concepts-christopher-bishop?_pos=7\u0026amp;_sid=53074e6e6\u0026amp;_ss=r\" target=\"_blank\" title=\"https:\/\/nybookshub.com\/products\/deep-learning-foundations-and-concepts-christopher-bishop?_pos=7\u0026amp;_sid=53074e6e6\u0026amp;_ss=r\" rel=\"noopener\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003eDeep Learning: Foundations and Concepts – Christopher Bishop |9783031454677|\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp data-path-to-node=\"24\"\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"NY Books Hub","offers":[{"title":"Default Title","offer_id":48299070390527,"sku":null,"price":48.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0794\/2809\/2159\/files\/linear-algebra-and-learning-from-data-gilbert-strang.jpg?v=1774289521","url":"https:\/\/nybookshub.com\/products\/linear-algebra-and-learning-from-data-gilbert-strang","provider":"NYBooksHub","version":"1.0","type":"link"}