Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2

The Signal and the Noise: The Art and Science of Prediction

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Forecasting: principles and practice

Mixed Models: Theory and Applications with R, Edition 2

Bayesian Modeling and Computation in Python

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Statistical Theory: A Concise Introduction, Edition 2

Mixture and Hidden Markov Models with R

Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science

Modern Bayesian Statistics in Clinical Research

Time Series Analysis and Its Applications: With R Examples, Edition 4

Disease world

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, & Emerged Triumphant from Two Centuries of C