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Introduction to Data Science for Mechanical Engineers (Lecture Book)

Preface

Lecture 1: Introduction
Lecture 2: Data arrays
Lecture 3: Data loading and selection
Lecture 4: Data visualization
Lecture 5: Functions, data manipulation, and models
Lecture 6: Conditionals and loops
Lecture 7: Probability as a measure of uncertainty
Lecture 8: The basic rules of probability
Lecture 9: Discrete random variables
Lecture 10: Continuous random variables
Lecture 11: Expectations, variances, and their properties
Lecture 12: The Normal distribution, quantiles, and credible intervals
Lecture 13: Fitting models with the principle of maximum likelihood
Lecture 14: Covariance, correlation, and linear regression with one variable
Lecture 15: Linear regression
Lecture 16: Classification via logistic regression
Bibliography

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By Ilias Bilionis (ibilion[at]purdue.edu)

© Copyright 2023.