Sort options

Machine Learning (Coursera)

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. Machine learning is so pervasive today that you probably [...]

Battery Pack Balancing and Power Estimation (Coursera)

In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Computational Neuroscience (Coursera)

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. Specific topics that will be covered include representation of information by spiking [...]

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine [...]

Monetary Policy Analysis and Forecasting (edX)

Learn about the macroeconomic motivation of the quarterly projection model (QPM), its key properties, model calibration, data filtration, and how to implement the QPM in MATLAB software in order to learn and understand practical model building and model operation as it is usually done in central banks. This online [...]

Analyse Numérique pour Ingénieurs (Coursera)

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 [...]

Métodos numéricos para matemáticas con Octave (edX)

En este curso en línea se hace una introducción a diferentes temas relacionados con la resolución numérica de ecuaciones diferenciales ordinarias. En este curso de matemáticas se desarrollaran aspectos básicos relacionados con la resolución numérica de problemas de valor inicial asociados a ecuaciones diferenciales ordinarias, tanto desde un punto [...]

MATLAB et Octave pour débutants (edX)

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique. Commencer à utiliser un logiciel est toujours délicat, on ne sait jamais par où commencer. Dans ce cours nous allons nous concentrer sur la maîtrise d’Octave et MATLAB, de façon à pouvoir par la suite continuer [...]