{"product_id":"mathematics-for-machine-learning-deisenroth-book","title":"Mathematics for Machine Learning – Deisenroth \u0026 Faisal Paperback |9781108455145|","description":"\u003cp data-path-to-node=\"7\"\u003e\u003cb data-path-to-node=\"7\" data-index-in-node=\"0\"\u003eMathematics for Machine Learning\u003c\/b\u003e provides the indispensable mathematical foundations required to understand and build advanced artificial intelligence systems today. Mathematics for Machine Learning bridges the gap between mathematical theory and the practical application of algorithms in data science. Instead of viewing these topics as isolated subjects, authors Deisenroth, Faisal, and Ong present them as a unified toolkit for the modern engineer.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"8\"\u003eAbout the Book\u003c\/h3\u003e\n\u003cp data-path-to-node=\"9\"\u003e\u003cb data-path-to-node=\"9\" data-index-in-node=\"0\"\u003eMathematics for Machine Learning\u003c\/b\u003e is designed to be the definitive entry point for anyone looking to go beyond simply using libraries like Scikit-Learn or TensorFlow. This textbook covers the core mathematical pillars—linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics—that underpin almost every machine learning model. By mastering these concepts, readers gain the ability to troubleshoot models and innovate new solutions in the field of AI.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"10\"\u003eWhat You’ll Learn \/ Why Read\u003c\/h3\u003e\n\u003cp data-path-to-node=\"11\"\u003e\u003cb data-path-to-node=\"11\" data-index-in-node=\"0\"\u003eMathematics for Machine Learning\u003c\/b\u003e helps you master the \"why\" behind the algorithms. You will learn how linear algebra defines high-dimensional data spaces and how vector calculus drives the optimization process in neural networks. Furthermore, the text explains how probability distributions model uncertainty and how principal component analysis (PCA) reduces data complexity. This book is essential for transitioning from a \"user\" of AI to a \"creator\" of robust machine learning systems.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"12\"\u003eAuthor Bio\u003c\/h3\u003e\n\u003cp data-path-to-node=\"13\"\u003eMarc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong are world-renowned researchers and educators. Their combined expertise in robotics, computational neuroscience, and statistical machine learning ensures that this text is both academically rigorous and practically relevant to the current industry landscape.\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 Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong\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 Cambridge University 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 Paperback \/ Softcover\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 978-1108455145\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 \/ AI\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 398 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\"\u003eMathematics for Machine Learning\u003c\/b\u003e customers trust Nybookshub for our commitment to quality and academic excellence. We provide 100% authentic editions, ensuring you receive the high-fidelity diagrams and formulas necessary for technical study. Our global shipping network ensures that this vital AI resource reaches aspiring data scientists in every corner of the globe. At Nybookshub, we curate a collection specifically designed to empower the next generation of tech innovators.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"18\"\u003eQuestions \u0026amp; Answers\u003c\/h3\u003e\n\u003cp data-path-to-node=\"19\"\u003e\u003cb data-path-to-node=\"19\" data-index-in-node=\"0\"\u003eDoes this book cover deep learning math?\u003c\/b\u003e Yes, it covers the foundational calculus and optimization required to understand backpropagation and neural network training.\u003c\/p\u003e\n\u003cp data-path-to-node=\"20\"\u003e\u003cb data-path-to-node=\"20\" data-index-in-node=\"0\"\u003eIs this the authentic Cambridge University Press edition?\u003c\/b\u003e Absolutely. Nybookshub only stocks verified, original editions for our global community of readers.\u003c\/p\u003e\n\u003cp data-path-to-node=\"21\"\u003e\u003cb data-path-to-node=\"21\" data-index-in-node=\"0\"\u003eWho is the target audience for this text?\u003c\/b\u003e It is perfect for upper-level undergraduates, graduate students, and software engineers looking to pivot into Data Science.\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 practical programming examples?\u003c\/b\u003e While focused on math, it provides the intuition needed to implement algorithms in languages like Python or R.\u003c\/p\u003e\n\u003cp data-path-to-node=\"23\"\u003e\u003cb data-path-to-node=\"23\" data-index-in-node=\"0\"\u003eAre there exercises included in the book?\u003c\/b\u003e Yes, it features various exercises designed to test your understanding of complex mathematical concepts.\u003c\/p\u003e\n\u003cp data-path-to-node=\"24\"\u003eLinear Algebra for ML, Calculus and Optimization, Probability for Data Science, Machine Learning Foundations, Marc Peter Deisenroth, Data Science Textbook, AI Math.\u003c\/p\u003e","brand":"NYBooksHub","offers":[{"title":"Default Title","offer_id":48201939681535,"sku":null,"price":32.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0794\/2809\/2159\/files\/mathematics-for-machine-learning-deisenroth-book_ab239a6d-0933-452f-89cd-2b7f01fb2aa4.jpg?v=1774289267","url":"https:\/\/www.nybookshub.shop\/products\/mathematics-for-machine-learning-deisenroth-book","provider":"NYBooksHub","version":"1.0","type":"link"}