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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 machine learning for non-technical business professionals.

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...

In this class, students will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

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

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...

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

This online course gives a hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

This online course explores how to analyze data in Python, using multi-dimensional arrays in numpy, manipulating DataFrames in pandas, using SciPy library of mathematical...

This introductory MOOC (online course) teaches theory, algorithms and applications of Machine Learning.

This is a non-technical online course that gives an introduction to artificial intelligence (AI). It covers examples of AI applications, technologies like machine learning and...

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

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

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 explores what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

This online course explores how Deep Learning and Machine Learning technology can be used in many aspects of business and industry.

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 series gives an introduction to Neural Networks, Deep Learning, and Tensorflow.