ML: an overview

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The topics of this AI course include the optimization of policies in reinforcement learning, the utilization of dimensionality reduction in unsupervised learning, and the classification and definition of constraints in supervised learning.

Key AI Functions:

Machine Learning,Artificial Intelligence,supervised learning,unsupervised learning

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Description for ML: an overview

Classify supervised learning problems and machine learning problems, and define the constraints of machine learning techniques in supervised learning.

Define the utility of dimensionality reduction techniques and classify machine learning problems in unsupervised learning.

Describe the process of optimizing a policy in reinforcement learning, define a value function, and formulate a sequential decision-making problem.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Politecnico di Milano

Duration: 2 hours (approximately)

Schedule: Flexible

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