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This online course series gives an introduction to Neural Networks, Deep Learning, and Tensorflow.

This online course program teaches learners with prior programming and data analysis skills how to build machine learning models and other more advanced skills. It also kncludes...

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 gives an introduction to machine learning for non-technical business professionals.

This online course series explores the fundamental mathematics toolkit of machine learning and data science. It includes modules on linear algebra, calculus and...

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 will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.

This online course teaches how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact

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 program includes 5 individual online courses and gives learners a comprehensive introduction to Deep Learning as a key building block of artificial intelligence.Learners...

This online course series gives an introduction to Machine Learning and Deep Learning, using various tools and methods as well as practical applications.

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

This online course teaches Machine Learning for iOS development.

This online video lecture series gives an introduction to Machine Learning.

This online course teaches how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow and more.

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

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 program gives an introduction to Machine Learning as a key concept of artificial intelligence (AI). It was designed to be accessible to both business-level...

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 program gives an introduction to Machine Learning with Google Cloud. It includes general aspects of machine learning as well as using Google's Tensorflow.