Probabilistic Machine Learning: An Introduction

INTRO TO PROBABILITY & STATISTICS

In All Likelihood Statistical Modelling and Inference Using Likelihood

Bayesian Theory and Applications

Machine Learning with Python: A Practical Beginners Guide (Machine Learning with Python for Beginners)

Probability and Statistics Models for Data Science: From Algorithms to Z Scores

Applied Probability Models With Optimization Applications

Probability and Statistics by Example

Probability, Statistics and Analysis

Bayesian Statistics : An Introduction

Machine Learning (McGraw-Hill International Editions Computer Science Series)

Introduction to Probability and Statistics from a Bayesian Viewpoint

Probability and Stochastic Modeling

Probability and Random Processes A First Course with Applications

Probability, Statistics, and Reliability for Engineers and Scientists

Probability and Statistics for

Computational Bayesian Statistics

Bayesian Methods for Management and Business Pragmatic Solutions for Real Problems

A Course in Probability and Statistics

A Graduate Course in Probability

Probability, Random Variables, Statistics, and Random Processes Fundamentals & Applications

Probability for Engineering, Mathematics, and Sciences

Bundle: Intro To Probability & Statistics

Bundle: Intro To Probability & Statistics

Bundle: Intro To Probability & Statistics

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)

Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2nd Edition

The Bayesian Way: Introductory Statistics for Economists and Engineers

Probability Theory and Mathematical Statistics for Engineers

Applied Probability Models With Optimization Applications