{"product_id":"numerical-machine-learning-paperback","title":"Numerical Machine Learning - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSayed Ameenuddin Irfan\u003c\/b\u003e (Author), \u003cb\u003eChristopher Teoh\u003c\/b\u003e (Author), \u003cb\u003ePriyanka Hriday Bhoyar\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eNumerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThrough a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. \u003cp\u003e\u003c\/p\u003eKey features \u003cp\u003e\u003c\/p\u003e-Provides a concise introduction to numerical concepts in machine learning in simple terms \u003cp\u003e\u003c\/p\u003e-Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables \u003cp\u003e\u003c\/p\u003e-Focuses on numerical examples while using small datasets for easy learning \u003cp\u003e\u003c\/p\u003e-Includes simple Python codes \u003cp\u003e\u003c\/p\u003e-Includes bibliographic references for advanced reading \u003cp\u003e\u003c\/p\u003eThe text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 226\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.59 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 29, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48289151942905,"sku":"9789815165005","price":79.65,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/C7fjZSMxSH9789815165005.webp?v=1776258814","url":"https:\/\/bookscloud.io\/products\/numerical-machine-learning-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}