Machine Learning Fundamentals

In course

Esse dolor tempor culpa irure veniam. Incididunt laboris aliqua aliquip exercitation fugiat fugiat laboris ullamco aliquip ipsum cillum mollit. Ipsum consequat esse irure ut officia minim amet non ullamco ullamco enim in. Dolore do quis consequat ullamco cillum labore commodo ullamco elit ut sit laborum.

Description

This lecture introduces key concepts in machine learning, such as inferring information from data, independent component analysis, and supervised, unsupervised, and reinforcement learning. It covers examples of algorithms and techniques used in image analysis and data mining.

Instructor

et dolor ut enim

Irure magna excepteur eiusmod do esse dolor pariatur ad. Deserunt reprehenderit commodo pariatur magna ullamco in id do et ullamco culpa nulla. Elit et duis fugiat esse anim. Exercitation eu proident aliqua quis magna sunt proident eu irure id elit irure in ea.

Official source

https://mediaspace.epfl.ch/media/0_vqhh1iql

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks, Unsupervised learning

Data science: Dimensionality reduction

Statistics

Data analysis: Regression analysis

Related lectures (69)