E.g., 2016-09-27
E.g., 2016-09-27
E.g., 2016-09-27
Sep 26th 2016

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory.

Average: 10 (2 votes)
Sep 19th 2016

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Average: 8.2 (18 votes)
Aug 1st 2016

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique

Average: 5 (1 vote)
Apr 16th 2016

Learn how to model and simulate complex and dynamic behavior in biological systems. Biological systems are dynamic, complex, and made of many parts. In the past, scientists often tried to understand them by examining each constituent part. However, this approach was unsuccessful in many cases because the parts of any complex biological system can “interact” with each other and understanding such interaction is critical.

No votes yet
Mar 21st 2016

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.

No votes yet
Oct 19th 2015

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

Average: 8 (2 votes)
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.

Average: 5 (13 votes)
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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