AI Skills: Basic and Advanced Techniques in Machine Learning

Delft University of Technology via edX

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Overview

This series of hands-on and interactive MOOCs will give learners a comprehensive overview of the basics machine learning topics. You will discover how machine learning classification and regression techniques allow you to make predictions for a category (classification) or for a number (regression) given data. This can be useful in predicting properties of objects (such as their weight or shape), or predicting qualities of people (customer satisfaction, etc. ). You will learn about unsupervised learning techniques such as clustering and...

Syllabus

Courses under this program:

Course 1: AI skills for Engineers: Supervised Machine Learning Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
Course 2: AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.