The Elements Of Statistical Learning
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Product Information
Brand
Pagify
Ideal For
Reading
Material
Paper
Country Of Origin
India
Pack Of
1
Author
Trevor Hastie, Robert Tibshirani & Jerome Friedman
Genre
Science & Mathematics
Isbn
9780000000000
Page Count
745
Product Type
Book
Product Description
- Premium Quality: The Elements of Statistical Learning is a comprehensive 745-page resource described as a valuable reference for statisticians and anyone interested in data mining in science or industry.
- Product Design: The book describes important ideas across a variety of fields such as medicine, biology, finance, and marketing within a common conceptual framework, with an emphasis on concepts rather than mathematics.
- User Experience: Many examples are given throughout, with a liberal use of colour graphics, making complex statistical concepts approachable and visually engaging for a wide range of readers.
- Versatile Occasion: Its broad coverage spans supervised learning and prediction through to unsupervised learning, making it suitable for students, researchers, and industry practitioners alike.
- Quality Assurance: The book includes the first comprehensive treatment of topics such as neural networks, support vector machines, classification trees, and boosting in a single volume.