Machine Learning: an overview
Offered By: Politecnico di Milano via Coursera
Course Description
Overview
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.
Syllabus
- Week 1 - Supervised Learning
- Week 2 - Unsupervised Learning
- Week 3 - Reinforcement Learning
Taught by
Marcello Restelli
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent