Description
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates.
Brand
Sample Brand - Unacademy
Classroom education in India has stifled many brilliant minds. With Unacademy, India's largest education platform, we are changing that. In a span of 6 months, over 300,000 students have benefited from over 2,400 online lessons and specialised courses on cracking various competitive examinations, on our platform. We have on board some of the top educators in the country, including Kiran Bedi, India's first woman IPS officer and now the Governor of Pondicherry. With over 2 million views every month, we are touching the lives of people in the remotest corners of the country. Our success stories include thousands of students who have cracked toughest of examinations, improved their ability to speak and write better and increase their knowledge. Our vision is to partner with the brightest minds and have courses on every possible topic in multiple languages so the whole world can benefit from these courses. India is home to 19% of the world's youth and we are empowering them to take on the world in a manner that classrooms will never do.
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