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

This online course explains the basic principles of machine translation. It covers the main difficulties of translating natural languages and the principles of different machine...

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

This online video lecture series gives an introduction to Artificial Intelligence (AI).

This online course explores how to apply machine learning in practice, using Google's approach including TensorFlow models.

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 course gives an introduction to artificial intelligence and deep learning for programmers.

This online course explores what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

This online course explores the ways in which artificially intelligent technologies (AI) affect the practice and administration of law. It includes the connection between AI and...

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

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 explores how to promote the ethical use of data-driven technologies. It includes topics such as privacy and bias and how ethical concepts can be applied.

This online course gives an overview of the use of AI in investing and wealth management.

This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...

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...

This online course is a business-oriented course on machine learning that covers the key concepts and technologies for beginners.

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...

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

This video lecture series gives an introduction to neural networks and deep learning. It covers topics such as backpropagation, loss functions and optimization strategies,...