{"product_id":"mathematics-of-machine-learning-book-tivadar-danka-danka-tivadar-9781837027873","title":"Mathematics of Machine Learning","description":"Build a solid foundation in the core math behind machine learning algorithms with this comprehensive guide to linear algebra, calculus, and probability, explained through practical Python examples\n\nPurchase of the print or Kindle book includes a free PDF eBook\nFree with your book: DRM-free PDF version + access to Packt's next-gen Reader* \n\nKey Features\n\nMaster linear algebra, calculus, and probability theory for ML\nBridge the gap between theory and real-world applications\nLearn Python implementations of core mathematical concepts\n\nBook DescriptionMathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to elevate their technical expertise. With this book, you’ll explore the core disciplines of linear algebra, calculus, and probability theory essential for mastering advanced machine learning concepts. \n\nPhD mathematician turned ML engineer Tivadar Danka—known for his intuitive teaching style that has attracted 100k+ followers—guides you through complex concepts with clarity, providing the structured guidance you need to deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems. Balancing theory with application, this book offers clear explanations of mathematical constructs and their direct relevance to machine learning tasks. Through practical Python examples, you’ll learn to implement and use these ideas in real-world scenarios, such as training machine learning models with gradient descent or working with vectors, matrices, and tensors. \n\n By the end of this book, you’ll have gained the confidence to engage with advanced machine learning literature and tailor algorithms to meet specific project requirements.\n*Email sign-up and proof of purchase requiredWhat you will learn\n\nUnderstand core concepts of linear algebra, including matrices, eigenvalues, and decompositions\nGrasp fundamental principles of calculus, including differentiation and integration\nExplore advanced topics in multivariable calculus for optimization in high dimensions\nMaster essential probability concepts like distributions, Bayes' theorem, and entropy\nBring mathematical ideas to life through Python-based implementations\n\nWho this book is forThis book is for aspiring machine learning engineers, data scientists, software developers, and researchers who want to gain a deeper understanding of the mathematics that drives machine learning. A foundational understanding of algebra and Python, and basic familiarity with machine learning tools are recommended.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":52622855045393,"sku":"NIN9781837027873","price":59.99,"currency_code":"USD","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52669413097745,"sku":"NLS9781837027873","price":73.39,"currency_code":"USD","in_stock":true},{"title":"US \/ GOOD \/ SBYB","offer_id":53242814267665,"sku":"CIN1837027870G","price":33.28,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781837027873.jpg?v=1767867310","url":"https:\/\/www.worldofbooks.com\/products\/mathematics-of-machine-learning-book-tivadar-danka-danka-tivadar-9781837027873","provider":"World of Books ","version":"1.0","type":"link"}