Lecture

Machine Learning Basics

In course

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Description

This lecture covers the general organization of the course, including the schedule, grading, and main references. It introduces the basics of machine learning, such as supervised and unsupervised learning, linear regression, and the concepts of training and testing models. The lecture also delves into the understanding of data, data sets vs. data samples, and the insights gained from different types of data. Practical examples and exercises are provided to illustrate key concepts.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_d6fnrt8r

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Data science: Topics in data science

Statistics

Data analysis: Regression analysis

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