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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 course series gives an in-depth introduction to Data Analytics.The courses were designed with experts and scientists at leading technology companies to ensure that learners...

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

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 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 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 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...