Lectures

• 7.2.1 What is “Good” Accuracy?

  Subject(s) Module 07. Classifier Evaluation
  

• 7.2.2 Confusion Matrix

  Subject(s) Module 07. Classifier Evaluation
  

• 7.2.3 ROC Curves

  Subject(s) Module 07. Classifier Evaluation
  

• 8.2.1 Basics of SVMs, Hard-Margin SVM – Part 1

  Subject(s) Module 08. Support Vector Machines (SVMs)
  

• 8.2.2 Basics of SVMs, Hard-Margin SVM – Part 2

  Subject(s) Module 08. Support Vector Machines (SVMs)
  

• 8.3.1 Soft-Margin SVM

  Subject(s) Module 08. Support Vector Machines (SVMs)
  

• 8.3.2 Kernels

  Subject(s) Module 08. Support Vector Machines (SVMs)
  

• 9.2.1 Basics

  Subject(s) Module 09. Decision Trees
  

• 9.2.2 Terminology and Training with CART

  Subject(s) Module 09. Decision Trees
  

• 9.2.3 Overfitting and Other Pros and Cons of Decision Trees

  Subject(s) Module 09. Decision Trees
  

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/