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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...
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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 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 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 gives an introduction to deep learning for applications such as natural language processing, computer vision, and many others. It is designed for students...
This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...
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 what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
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...
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 is a business-oriented course on machine learning that covers the key concepts and technologies for beginners.
This online course will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.
This online course explores artificial intelligence (AI) in a business context. It discusses potential uses, strategic impact, and competences needed.
This online course gives an introduction to AI, Big Data, and Machine Learning for learners with a business background.
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 the basic ideas of machine learning and artificial intelligence without the technical programming tools that are used by more...
This course examines structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation...
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 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...
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.
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