Home Courses AI skills for Engineers: Supervised Machine Learning Course materials Readings 4.1.2 Reading Material

4.1.2 Reading Material

Course subject(s) Module 04. Training Models

In this section of the course, we will be delving into the following reading materials:

    • HO p. 111-114 until “The Normal Equation”
    • HO p. 118-134 until “Regularized Linear Models”
    • HO p. 142 from “Logistic Regression” until p. 148
    • ISLR p. 129-130

As a reminder the textbooks being referred to are:

    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.
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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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