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This comprehensive course series teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used...

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

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

This online lecture discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

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 program gives an introduction to Natural Language Processing (NLP). Its goal is for learners to be able to design NLP applications that perform...

This MOOC teaches fundamentals of probabilistic analysis and inference. Participants of the course will build computer programs that reason with uncertainty and make...

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 introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...

This series of online courses explores the fundamental building blocks of data science, including statistics, data analysis, data visualization, programming with SQL and Python,...

This online course program explores the potential of machine learning in a business setting. It covers topics such as data analysis for machine learning, supervised learning...

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 course examines structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation...

This online course program gives an introduction to computer science for artificial intelligence programmers. No prior experience is required.It first gives a general overview...

This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...

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 machine learning and includes a wide range of supervised-learning techniques, from simple linear regression to support vector...

This online course program explores the main areas of machine learning: supervised learning, unsupervised learning, deep learning, and reinforcement learning.

This course covers intermediate topics in data science. Students will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and...

This video lecture gives an introduction to the area of machine learning. Lecture slides are shown together with the lessons.