Lectures

• 0.1.2 Video Introduction

  Subject(s) Module 0. Welcome to ‘Introduction to Unsupervised, Deep and Reinforcement Learning’
  

• 1.1.2 Why use Machine Learning?

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 1.1.3 Machine Learning Basics and Terminology

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 1.1.4 The biggest challenge with Machine Learning and Frameworks

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 1.2.1 Predicting the number of sales with regression

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 1.2.2 What is a “good” regression model? MSE, MAE

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 1.3.1 Terminology and Basics

  Subject(s) Module 1. Prior Knowledge: Supervised Machine Learning
  

• 2.1.3 Video: Introduction to Clustering

  Subject(s) Module 2. Clustering
  

• 2.1.4 Video: Similarity and Dissimilarity

  Subject(s) Module 2. Clustering
  

• 2.2.2 Video: Formalizing the problem of clustering

  Subject(s) Module 2. Clustering
  

AI Skills: Introduction to Unsupervised, Deep and Reinforcement 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-introduction-to-unsupervised-deep-and-reinforcement-learning/