Introduction to Supervised Learning: Linear and Polynomial Regression
This lecture provides a first example of a machine learning algorithm: linear regression. It defines a linear model and its optimization objective...
Introduction to Machine Learning: Overview of Supervised, Unsupervised, and Reinforcement Learning
Machine learning has emerged as a transformative technology in the last decade. This lecture explains what machine learning is via examples of...
Advanced Supervised Learning: Decision Trees and Random Forests
This lecture introduces some advanced machine learning algorithms: decision trees, random forests and boosted trees. These algorithms achieve state-of-the-art performance on many...
Advanced Supervised Learning: Deep Neural Networks
Many of the most impressive recent breakthroughs in machine learning have been made possible by the development of deep neural networks. We...
