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

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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

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Pre-Owned Introduction to Probability Theory and Statistical Inference (Wiley Series in Probability & Mathematical Statistics) Paperback

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Introduction to Probability, Statistics, and Random Processes

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Hardcover)

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Machine Learning: A Constraint-Based Approach (Paperback)

A Basic Course in Measure and Probability

A Basic Course in Measure and Probability

A Basic Course in Measure and Probability

Probability: An Introduction

Computing: The Current and its Probability Based Future (Paperback)

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Handbook of Probabilistic Models

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Probability and Random Processes with One Thousand Exercises in Probability

A Graduate Course in Probability

The Ultimate Guide To AI and Machine Learning: From Theory To Applications

Machine Learning: An Applied Mathematics Introduction

Introduction to Probability

Introduction to Probability and Statistics from a Bayesian Viewpoint Part 1 Probability (Paperback)

A First Course in Probability and Markov Chains