Advanced Search

This online course gives an introduction to the fundamentals of Artificial Intelligence. It includes various topics in the field along with a discussion of foundational concepts...

This online course explores the fundamentals of Artificial Intelligence (AI). Participants will design intelligent agents to solve real-world problems, including search, games,...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This online course teaches how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact

This online course explores the essentials of machine learning and algorithms to help improve learning from data without human intervention. Topics of the course include:...

This online course gives an introduction to developing deep learning models with Tensorflow (an open source machine library for deep learning).

This online course gives an introduction to the basic ideas of machine learning and artificial intelligence without the technical programming tools that are used by more...

This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...

This online course gives an introduction to artificial intelligence for educators to prepare for a future which is becoming increasingly automated. The course includes...

This online course explores artificial intelligence (AI) in a business context. It discusses potential uses, strategic impact, and competences needed.

This online course gives a basic introduction to the field of deep learning and to building a deep learning model using the Keras library. Some prior knowledge of Python and...

This online course shows how to work with big data and build machine learning models at scale using Spark.

This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)

In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...

This MOOC teaches fundamentals of probabilistic analysis and inference. Participants of the course will build computer programs that reason with uncertainty and make...

This online video lecture series gives an introduction to Reinforcement Learning.

In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.

This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.

This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...

This online video lecture series gives an introduction to machine learning and pattern recognition.