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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 video lecture gives an introduction to the area of machine learning. Lecture slides are shown together with the lessons.

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:...

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 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 course explores regularized linear regression models for the task of prediction and feature selection. Students will be able to handle very large sets of features and...

In this course, students will create classifiers that provide state-of-the-art performance on a variety of tasks and will become familiar with some of the most successful...

This course provides a case-based introduction to the exciting, high-demand field of machine learning. Students will learn to analyze large and complex datasets, build...

This online course explores machine learning’s role in data-driven modeling, prediction, and decision-making.

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 MOOC explores the theory and practice of Machine Learning. Participants work with tools like R, Python, and Azure Machine Learning to solve advanced data science problems.

Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...

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 lecture gives an introduction to machine learning for physicists. [Note: Lectures 1 and 2 are not in the right order on the course overview page.]

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

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

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