Probability and Statistics for Machine Learning

Charu C. Aggarwal ()
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Charu C. Aggarwal: IBM T. J. Watson Research Center

in Springer Books from Springer

Date: 2024
ISBN: 978-3-031-53282-5
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Chapters in this book:

Ch Chapter 1 Probability and Statistics: An Introduction

Charu C. Aggarwal

Ch Chapter 10 Discrete State Markov Processes

Charu C. Aggarwal

Ch Chapter 11 Probabilistic Inequalities and Approximations

Charu C. Aggarwal

Ch Chapter 2 Summarizing and Visualizing Data

Charu C. Aggarwal

Ch Chapter 3 Probability Basics and Random Variables

Charu C. Aggarwal

Ch Chapter 4 Probability Distributions

Charu C. Aggarwal

Ch Chapter 5 Hypothesis Testing and Confidence Intervals

Charu C. Aggarwal

Ch Chapter 6 Reconstructing Probability Distributions from Data

Charu C. Aggarwal

Ch Chapter 7 Regression

Charu C. Aggarwal

Ch Chapter 8 Classification: A Probabilistic View

Charu C. Aggarwal

Ch Chapter 9 Unsupervised Learning: A Probabilistic View

Charu C. Aggarwal

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DOI: 10.1007/978-3-031-53282-5

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