Statistical Foundations of Data Science

Released on by Jianqing Fan
preview-18

  • Statistical Foundations of Data Science Book Detail

  • Author : Jianqing Fan
  • Release Date : 2020-09-21
  • Publisher : CRC Press
  • Genre : Mathematics
  • Pages : 942
  • ISBN 13 : 0429527616
  • File Size : 25,25 MB
DOWNLOAD BOOK

Statistical Foundations of Data Science by Jianqing Fan PDF Summary

Book Description: Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.

Disclaimer: www.yourbookbest.com does not own Statistical Foundations of Data Science books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Statistical Foundations of Data Science

Statistical Foundations of Data Science

File Size : 1,1 MB
Total View : 1542 Views
DOWNLOAD

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques

Foundations of Data Science

Foundations of Data Science

File Size : 63,63 MB
Total View : 8422 Views
DOWNLOAD

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a

Probability and Statistics for Data Science

Probability and Statistics for Data Science

File Size : 52,52 MB
Total View : 8111 Views
DOWNLOAD

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Sc