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This online course gives an introduction to machine learning for non-technical business professionals.

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 course will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.

This online course teaches how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact

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

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

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

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

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

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...

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

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...

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 online course explores what Generative AI is, how it is used, and how it differs from traditional 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.

In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...

This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...