Stats Machine Learning & DM

Discover the best books on statistics, machine learning, and data mining with this curated reading list. Essential guides for mastering data science, statistical modeling, and predictive analytics—ideal for learners and pros alike.

The elements of statistical learning Cover
Book

The elements of statistical learning

 

No summary available.
Computational statistics Cover
Book

Computational statistics

 

No summary available.
Statistical Inference Cover
Book

Statistical Inference

 

No summary available.
Categorical data analysis Cover
Book

Categorical data analysis

 

No summary available.
An introduction to the bootstrap Cover
Book

An introduction to the bootstrap

 

No summary available.
Generalized additive models Cover
Book

Generalized additive models

 

No summary available.
Modern applied statistics with S-PLUS Cover
Book

Modern applied statistics with S-PLUS

 

No summary available.
Applied multivariate statistical analysis Cover
Book

Applied multivariate statistical analysis

 

No summary available.
Market Segmentation Cover
Book

Market Segmentation

 

No summary available.
Bayes and Empirical Bayes methods for data analysis Cover
Book

Bayes and Empirical Bayes methods for data analysis

 

No summary available.
Applied logistic regression Cover
Book

Applied logistic regression

 

No summary available.
Classification and regression trees Cover
Book

Classification and regression trees

 

No summary available.
Statistics for experimenters Cover
Book

Statistics for experimenters

 

No summary available.
An introduction to R Cover
Book

An introduction to R

 

No summary available.
Practical genetic algorithms Cover
Book

Practical genetic algorithms

 

No summary available.
Hierarchical linear models Cover
Book

Hierarchical linear models

 

No summary available.
Adaptation in natural and artificial systems Cover
Book

Adaptation in natural and artificial systems

 

No summary available.
C4.5 Cover
Book

C4.5

 

No summary available.
Practical nonparametric statistics Cover
Book

Practical nonparametric statistics

 

No summary available.
Generalized, linear, and mixed models Cover
Book

Generalized, linear, and mixed models

 

No summary available.
Econometric analysis Cover
Book

Econometric analysis

 

No summary available.
Monte Carlo statistical methods Cover
Book

Monte Carlo statistical methods

 

No summary available.
Bootstrap methods and their application Cover
Book

Bootstrap methods and their application

 

No summary available.
Pattern recognition and neural networks Cover
Book

Pattern recognition and neural networks

 

No summary available.