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This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
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 online course gives a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
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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 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.
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...
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 will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
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 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 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 course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....
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...
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...
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