02606nam a22002177a 4500 2479 2479 OSt 20200224142453.0 200118b ||||| |||| 00| 0 eng d 978-1-107-51282-5 Allied Informatics, Jaipur 7084 13/01/2020 2019-20 BSDU English BSDU 006.31 SHA Shalev-Shwartz,Shai Understanding Machine Learning:From theory to algorithms New Delhi Cambridge University Press 2020 397 DescriptionContentsResourcesCoursesAbout the Authors Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering. This book is written for the first year students of Engineering– A blend of theory and solved problems will equip the students with the fundamental knowledge and application of the coding concepts. This will nurture them to have a strong foundation for the courses in the subsequent semesters. This book ensures a smooth and successful transition to being a skilled Python expert. The book uses a simple-to-complex and easy-to-learn approach throughout. The concept of ‘learning by-solving has been stressed everywhere in the book. Each feature of Python is treated in depth followed by a complete program example to illustrate its use. Wherever necessary, concepts are explained pictorially to facilitate better understanding. The book presents a contemporary approach to programming, offering a combination of theory and practice. Machine Learning Ben-David,Shai ddc BK 0 0 ddc 0 0 BSDU BSDU GEN 2020-01-18 995.00 0 006.31 SHA 018046 2020-02-12 00:00:00 995.00 2020-01-18 BK