Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

1.1.1 Overview Introduction

Course subject(s) Module 01. Introduction to Supervised Machine Learning

In section 1, you will learn what machine learning is and the basic terminology that we will need during this course. You will learn the advantage of machine learning versus regular programming.  Finally, discuss the different variants, such as supervised learning, semi-supervised learning, unsupervised learning and reinforcement learning.

After this section you can:

    • Explain the basic concept of machine learning and its terminology
    • Explain the pros and cons of machine learning versus regular programming
    • Identify different types of machine learning settings
Creative Commons License
AI skills for Engineers: Supervised Machine 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-for-engineers-supervised-machine-learning/
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