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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.

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).

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 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...

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

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.

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...

This online course explores artificial intelligence (AI) in a business context. It discusses potential uses, strategic impact, and competences needed.

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 online course gives an introduction to deep learning for applications such as natural language processing, computer vision, and many others. It is designed for students...

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 explores key AI concepts, including machine learning, deep learning and neural networks. The course is designed for beginners and no programming skills are...

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