Advanced Search

This online video lecture series gives an introduction to machine learning and pattern recognition.

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 series prepares learners to use the IBM AI Enterprise Workflow that enables data scientists to build AI solutions, starting with business priorities and...

This online course program gives an introduction to the mathematics required for applications in Machine Learning and Data Science. It includes Linear Algebra, Multivariate...

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 online course series gives an introduction to the key skills needed for data science, including probability and statistics, data analysis, and machine learning. Students...

This course teaches how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include...

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

This online course program explores how to apply machine learning to problems in medicine (diagnosis, prognosis, treatment). The program is designed for learners with some prior...

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 course series gives an in-depth introduction to Data Analytics.The courses were designed with experts and scientists at leading technology companies to ensure that learners...

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

This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...

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 Spark and Scala for Big Data applications, including Spark 2.0 DataFrames.

This online course explores how machine learning can be used to solve financial data problems and create informative insights and predictions. The course is designed for anyone...

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...

In this course, students will create classifiers that provide state-of-the-art performance on a variety of tasks and will become familiar with some of the most successful...

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