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

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

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

This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...

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

This course examines structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation...

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...

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

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

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

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 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.

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 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...

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

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

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.