6.1.2 Other online courses

Course subject(s) Module 6. Wrap up

Now this course has ended, you might be interested in another online course. If you did not take this course yet, please consider it:

AI Skills for Engineers: Supervised Machine Learning 

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.

Other courses that you may be interested in are:

Data Creation and Collection for Artificial Intelligence via Crowdsourcing

A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

AI Skills for Engineers: Data Engineering and Data Pipelines

Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills including setup of a Python notebook environment, basic data exploration and simple data visualizations.

Creative Commons License
AI Skills: Introduction to Unsupervised, Deep and Reinforcement Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-introduction-to-unsupervised-deep-and-reinforcement-learning/
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