{"product_id":"applied-machine-learning-2nd-edition","title":"Applied Machine Learning|2nd Edition","description":"\u003cp\u003e\u003cstrong\u003eBook Details:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e McGraw-Hill Education\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e M. Gopal\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdition:\u003c\/strong\u003e Second Edition\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9789354601590\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 552\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions:\u003c\/strong\u003e 9.3 x 7.3 x 0.9 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRelease Date:\u003c\/strong\u003e 17-12-2021\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAbout The Book:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\"\u003cstrong\u003eApplied Machine Learning\u003c\/strong\u003e\" (Second Edition) by M. Gopal is designed to provide readers with a clear, step-by-step guide to mastering machine learning techniques and applying them to real-world problems. The book offers a comprehensive approach to the concepts of machine learning, from the theoretical foundations to practical applications, making it accessible even to those with limited mathematical expertise.\u003c\/p\u003e\n\u003cp\u003eThis edition includes expanded content on a variety of techniques such as log loss (cross entropy) for classification, handling imbalanced data, Ridge and LASSO regression, and multiclass logistic regression. In addition to the core content, the book introduces a new chapter titled \"\u003cstrong\u003eUnderstanding Machine Learning by Application\u003c\/strong\u003e,\" which provides hands-on experience through case studies from real-life problems. The inclusion of practical exercises and datasets further enhances the learning experience, ensuring readers are equipped to apply machine learning methods effectively.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eComprehensive Coverage:\u003c\/strong\u003e Covers a broad array of machine learning methods, including modern techniques like Ridge and LASSO regression, and multiclass logistic regression.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNon-Rigorous Mathematical Approach:\u003c\/strong\u003e Concepts are explained in a simple, lucid manner with minimal mathematical complexity, making it accessible to a wider audience.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHands-On Learning:\u003c\/strong\u003e The new chapter on \"Understanding Machine Learning by Application\" includes case studies and exercise experiments that help readers gain practical experience.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUpdated Content:\u003c\/strong\u003e Includes new sections on imbalanced data problems and solutions, softmax function, and cross entropy metrics for classification.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePractical Datasets:\u003c\/strong\u003e Datasets in Excel files are available online for the case studies and exercises, enabling readers to practice the techniques learned in the book.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIdeal for:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMachine Learning Enthusiasts:\u003c\/strong\u003e Whether you're new to the field or looking to expand your knowledge, this book serves as an excellent resource for understanding machine learning concepts and techniques.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eStudents and Professionals:\u003c\/strong\u003e Those studying or working in the fields of data science, artificial intelligence, or applied mathematics will find this book useful.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHands-On Learners:\u003c\/strong\u003e The practical case studies and exercises make this a great resource for those looking to gain hands-on experience in machine learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\"Applied Machine Learning\" (Second Edition) by M. Gopal is an essential resource for anyone looking to understand and apply machine learning techniques. With clear explanations, hands-on examples, and up-to-date content, this book is an invaluable guide for solving real-world problems using machine learning.\u003c\/p\u003e","brand":"McGraw-Hill Education","offers":[{"title":"Default Title","offer_id":49907516178736,"sku":"Sarat_9789354601590","price":893.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/mcgraw-hill-education-book-default-title-applied-machine-learning-2nd-edition-41200097100080.jpg?v=1775963780","url":"https:\/\/www.retailmaharaj.com\/products\/applied-machine-learning-2nd-edition","provider":"Retail Maharaj","version":"1.0","type":"link"}