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Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning: An Algorithmic Perspective, Second Edition

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Machine Learning A Concise Introduction

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Introduction to Machine Learning with Python: A Guide for Data Scientists

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Machine Learning: Concepts Techniques and Applications (Hardcover)

Introduction to Probability for Computing

Information Theory, Inference and Learning Algorithms

Probability Theory: An Analytic View

Algorithmic Aspects of Machine Learning

Probability Theory: An Analytic View

The Probability Companion for Engineering and Computer Science

Computational Bayesian Statistics

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Computational Bayesian Statistics

Mathematics for Machine Learning

Machine Learning and Data Science Fundamentals and Applications

Understanding Machine Learning: From Theory to Algorithms

The Art of Machine Learning: A Hands-On Guide to Machine Learning with R

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

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Algorithmic Aspects of Machine Learning

Fundamentals of Machine Learning for Predictive Data Analytics, second edition Algorithms, Worked Examples, and Case Studies

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Machine Learning Algorithms and Applications

Introduction to Statistical Machine Learning

Introduction to Imprecise Probabilities

An Introduction to Probability and Statistical Inference

A Modern Introduction to Probability and Statistics: Understanding Why and How

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Introduction to Statistical Machine Learning

Probability and Stochastic Modeling

Probability Designs Literature and Predictive Processing

Bayesian Artificial Intelligence, Second Edition

An Introduction to Statistical Learning

Bayesian Statistics: An Introduction, 3rd Edition