E.g., Tuesday, June 23, 2015
E.g., Tuesday, June 23, 2015
E.g., Tuesday, June 23, 2015
Self Paced

This is an introductory course to Digital Signal Processing that can be taken at any time. The course deals with the fundamentals in addition to exploring techniques like filtering, correlation and Fourier analysis. There is an emphasis in applying DSP theory to practical problems.

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May 1st 2015

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

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Feb 6th 2015

Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL. Il est basé sur le livre "Introduction à l'analyse numérique", J. Rappaz M. Picasso, Ed. PPUR. Des outils de base sont décrits dans les 5 premiers chapitres. Les deux derniers chapitres abordent la question de la résolution numérique d'équations différentielles.

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Jan 19th 2015

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

8.33333
Average: 8.3 (3 votes)
Jan 19th 2015

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

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Apr 8th 2013

In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

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