Introduction to Probability for Data Science

Intro to Probability for Data Science

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Why another probability textbook?

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Chapters

Table of Content

Ch1 Mathematical Background

Ch2 Probability

Ch3 Discrete Random Variables

Ch4 Continuous Random Variables

Ch5 Joint Distributions

Ch6 Sample Statistics

Ch7 Regression

Ch8 Estimation

Ch9 Confidence and Hypothesis

Ch10 Random Processes

Lecture Videos + Slides

Lecture Videos + Slides 2020

Lecture Videos + Slides 2022

Selected Exercise Videos

Code and Data

MATLAB, Python, Julia, R Ch1

MATLAB, Python, Julia, R Ch3

MATLAB, Python, Julia, R Ch4

MATLAB, Python, Julia, R Ch5

MATLAB, Python, Julia, R Ch6

MATLAB, Python, Julia, R Ch7

MATLAB, Python, Julia, R Ch8

MATLAB, Python, Julia, R Ch9

MATLAB, Python, Julia, R Ch10

Data

Problem Solutions (Instructor Only)

Solutions

Purdue Courses

ECE 302

ECE 595

Stanley H. Chan
An undergraduate textbook on probability for data science.

Michigan Publishing, 2021

ISBN 978-1-60785-746-4 (hardcover): Purchase from Amazon
ISBN 978-1-60785-747-1 (electronic) Free download from Univ. Michigan Publishing