Preprint / Version 2

Machine Learning for Engineering Problem Solving

A Practical Example-driven Guide to Classical Techniques

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DOI:

https://doi.org/10.31224/4909

Keywords:

Machine Learning, Support Vector Machine, gradient descent, Decision Tree, Linear Regression, Classification

Abstract

This text is a free, open-source textbook that introduces traditional machine learning through practical engineering examples. Designed for undergraduate engineering students and readers with limited programming experience, the text uses Python and the scikit-learn library to connect core concepts with hands-on implementation.

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Posted

2025-07-21 — Updated on 2026-07-06

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License

Copyright (c) 2025 Austin Downey

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Version justification

Added supplementary slide deck and made general updates to text.