Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC (edition 1), 2017
Series: Book 45 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
- Used
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Seller Inventory # 1498710913-11-1
- Title
- Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
- Author
- Matloff, Norman
- Publisher
- Chapman and Hall/CRC (edition 1)
- Publication year
- 2017
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1498710913
- ISBN 13
- 9781498710916
- Edition
- 1.
- Series
- Book 45 of 126: Chapman & Hall/CRC Texts in Statistical Science
"Synopsis" may belong to another edition of this title.
About the Author
Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. Statistical Regression and Classification: From Linear Models to Machine Learning was awarded the 2017 Ziegel Award for the best book reviewed in Technometrics in 2017. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA.
"About the title" may belong to another edition of this title.
BooksRun
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