Lectures

• 3.3.2 Building a “Simple” Classifier Using Nearest Neighbours

  Subject(s) Module 03. Classification
  

• 3.3.3 How to use the KNN Classifier in Practice

  Subject(s) Module 03. Classification
  

• 4.2.1 The Basics of Gradient Descent – Part 1

  Subject(s) Module 04. Training Models
  

• 4.2.2 The Basics of Gradient Descent – Part 2

  Subject(s) Module 04. Training Models
  

• 4.2.3 The Basics of Gradient Descent – Part 3

  Subject(s) Module 04. Training Models
  

• 4.2.4 The Basics of Gradient Descent – Part 4

  Subject(s) Module 04. Training Models
  

• 4.3.1 Three Variants of Gradient Descent

  Subject(s) Module 04. Training Models
  

• 4.3.2 How to use Gradient Descent in Practice?

  Subject(s) Module 04. Training Models
  

• 4.4.1 Why do we need Logistic Regression?

  Subject(s) Module 04. Training Models
  

• 4.4.2 Basics of Logistic Regression

  Subject(s) Module 04. Training Models
  

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/