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

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

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

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 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 machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...

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 developing deep learning models with Tensorflow (an open source machine library for deep learning).

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 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 course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

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

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

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

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 cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...

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...