Advanced Search

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 online course, participants will learn the basics of modern Artificial Intelligence (AI).The course also includes some of the representative applications of AI,...

This online course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

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 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 teaches how to to create machine learning algorithms in Python and R.

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

This online course shows how to work with big data and build machine learning models at scale using Spark.

This online course gives an introduction to the fundamentals of Artificial Intelligence. It includes various topics in the field along with a discussion of foundational concepts...

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

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

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

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

This online course gives an introduction to deep learning in the context of enterprises. It includes various industry applications and examples with the TensorFlow framework.

This online course gives a basic introduction to the field of deep learning and to building a deep learning model using the Keras library. Some prior knowledge of Python and...

This online course teaches Machine Learning for iOS development.

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.