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

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 online course gives an introduction to Generative AI and shows how it is used and how it differs from traditional machine learning methods.

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 teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.

This online course explores the ethics of artificial intelligence principles to minimize bias, while maximizing fairness and explainability. Topics include the context and...

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 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...

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 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 covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.

This online course gives a short introduction to machine learning and data science for everyone.

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 teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.

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

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 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 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 gives an introduction to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).