AI Skills: Basic and Advanced Techniques in Machine Learning

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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 dimensionality reduction and how useful they are to make sense of large and/or high dimensional datasets.

We will also cover more advanced supervised learning techniques such as deep learning. This is useful to train neural networks to solve more complicated classification and regression tasks. Finally, you will deep dive into the reinforcement learning techniques and understand how to use them to train AI agents that interact with an environment.

The lectures feature a unique combination of videos mixed with hands-on interaction with machine learning algorithms to stimulate a deeper understanding. In the exercises you apply the algorithms in Python using scikit-learn and in the final project you will further deepen your understanding of the various concepts by building and tuning a machine learning pipeline from start to finish.

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.



Courses

Taught by

Wendelin Böhmer, Tom Viering, Hanne Kekkonen, Hongrui Wang, Amira Elnouty and Luca Laurenti

AI Skills: Basic and Advanced Techniques in Machine Learning
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AI Skills: Basic and Advanced Techniques in Machine Learning

Brought by: edX

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