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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 course teaches how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include...

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

In this online course, participants will learn the basics of modern Artificial Intelligence (AI).The course also includes some of the representative applications of AI,...

This online course gives an introduction to deep learning in the context of enterprises. It includes various industry applications and examples with the TensorFlow framework.

This online lecture series reviews linear algebra with applications to probability and statistics and optimization. It covers linear algebra concepts that are key for...

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...

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...

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

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

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

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

This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....

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 course explores how to apply machine learning in practice, using Google's approach including TensorFlow models.

This online course teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.

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

This online lecture discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.