Machine Learning: an overview

Beginner Level
2 hours to complete Recommended experience
Flexible Schedule

Marcello Restelli

What You’ll Learn

Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning

Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques

Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning

Skills You’ll Gain

Algorithms Supervised Learning Regression Analysis Classification And Regression Tree (CART) Dimensionality Reduction Data Mining Applied Machine Learning Machine Learning Algorithms Unsupervised Learning Machine Learning Reinforcement Learning

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

There are 3 modules in this course