
Building AI a flexible online module for anyone who wants to learn about how practical AI systems can be constructed using machine learning. You will get a solid introduction to machine learning and neural networks, and will learn where and how AI methods are applied in real life. It is easy to move freely between the three difficulty levels, from multiple choice exercises to programming with Python – depending on whether you know programming or not.
These are the teamchers you'll work with on the challenge.
Describe the importance of handling uncertainty in machine learning and how probability theory can be used for this purpose.
Describe how optimisation is used to train machine learning models.
Give an account of common methods and models used in machine learning.
Describe what machine learning can be used for, as well as its possibilities and limitations.
Describe how data is used to train a machine learning model to solve a given problem.
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