Statistical Application Development with R and Python - Second Edition (also known as Statistical Software Development with R and Python)

An Introduction to Statistical Learning: with Applications in R

(9781461471370) - Dimensions: 157.48 x 238.76 x 25.4mm | 884.5g - Edition statement: 1st ed. 2013, Corr. 7th printing 2017 - Format: 426 pages - Publication date: 01 Sep - ISBN: 9781461471370 - Languages: English | Introduction to Statistical

Introduction to Statistical Learning with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

Explore machine learning fundamentals through clear theory, practical examples, and Python code, guiding readers from basic concepts to advanced techniques in regression, classification, and model evaluation.

Introduction to Mathematical Statistics and Its Applications, An (Pearson)

Explore probability, inference, and regression with this comprehensive guide that blends theory and real‑world examples, offering clear explanations, worked problems, and practical applications for students and professionals.

Business Statistics for Dummies by Alan Anderson - Comprehensive Guide to Statistical Concepts and Applications

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Springer International Publishing AG (9783319194240 / 104 black & white illustrations, 53 colo)

Springer Modern Mathematical Statistics with Applications (Original Version)