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0.1.4 Course Reading Material

Course subject(s) Module 00. Welcome to Supervised Machine Learning! Module 01. Introduction to Supervised Machine Learning

In the lecture videos in this course we will cover all necessary material. However, perhaps sometimes a video goes to quickly, or you are interested to read more? That is why at the beginning of each section we indicate the reading material. In this course we will make use of two books:

    1. (HO) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition. Author: Aurélien Géron. (sorry, this book is not available freely online…)
    2. (ISLR) An Introduction to Statistical Learning: With Applications in R (first edition). Authors: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. Download PDF freely.

Note that these books are exempt from the Creative Commons license under which this course is made available.

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AI skills for Engineers: Supervised Machine Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-for-engineers-supervised-machine-learning/
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