Tom Viering

Tom Viering, MSc is an assistant professor with a focus on education in the Pattern Recognition and Bio-Informatics research group in the Faculty of Electrical Engineering, Mathematics & Computer Science at the TU Delft.
He is one of the coordinators and teachers in TU Delft’s AI minor. In this program, engineers with various backgrounds learn the basics of AI and machine learning and apply the techniques in the field of their major.
In his teaching he likes to employ interactive Python widgets to stimulate students' understanding. His research focuses on theoretical and empirical aspects of machine learning, for example on questions like how much data is necessary for learning.

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

EdX

Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Robotics & Computer Vision

Discover the core concepts of artificial intelligence with our Introduction to Unsupervised, Deep, and Reinforcement Learning course. This edX offering provides a solid foundation in clustering, dimensionality reduction, deep learning, and reinforcement learning techniques, empowering you to solve complex real-world challenges using AI. Whether you're new to machine learning or looking to expand your expertise, this course is designed for learners at all levels.

Self Paced

Self-Paced

Artificial Intelligence Clustering AI

AI skills for Engineers: Supervised Machine Learning (edX)

EdX

Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced

Self-Paced

ML Artificial Intelligence Machine Learning

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