## Read Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman Hall/CRC Texts in Statistical Science)

Norman Matloff » 5 Read Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman Hall/CRC Texts in Statistical Science) Read & Download ↠ PDF, eBook or Kindle ePUB free Itioned into Data Math and Complements problems Instructors can tailor coverage for specific audiences such as majors in Statistics Computer Science or Economics More than examples using real data The book treats classical regression methods in an innovative contemporary manner Though some statistical learning methods are introduced the primary methodology used is linear and generalized linear parametric models covering both the Description and Prediction goals of regression methods The author is just as interested in Description applications of regression such as measuring the gender wage gap in Silicon Valley as in forecasting tomorrow s demand for bike rentals An entire chapter is devoted to measuring such effects including discussion.

### Download Ê PDF, eBook or Kindle ePUB free » Norman Matloff

Norman Matloff » 5 Read Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman Hall/CRC Texts in Statistical Science) Read & Download ↠ PDF, eBook or Kindle ePUB free Of Simpson s Paradox multiple inference and causation issues Similarly there is an entire chapter of parametric model fit making use of both residual analysis and assessment via nonparametric analysis 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 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 CUD.

**Norman Matloff » 5 Read**

Norman Matloff » 5 Read Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman Hall/CRC Texts in Statistical Science) Read & Download ↠ PDF, eBook or Kindle ePUB free Statistical Regression and Classification From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course presenting a contemporary treatment in line with today s applications and users The text takes a modern look at regression A thorough treatment of classical linear and generalized linear models supplemented with introductory material on machine learning methods Since classification is the focus of many contemporary applications the book covers this topic in detail especially the multiclass case In view of the voluminous nature of many modern datasets there is a chapter on Big Data Has special Mathematical and Computational Complements sections at ends of chapters and exercises are part.

- Kindle Edition
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- Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman Hall/CRC Texts in Statistical Science)
- Norman Matloff
- en
- 28 September 2018
- 9781498710916