Self Paced Course - Start anytime

Can we program machines to learn like humans? This Reinforcement Learning course will teach you the algorithms for designing self-learning agents like us!

0
No votes yet
May 6th 2014

In this course, we will introduce the basic concepts for autonomous navigation with quadrotors, including topics such as probabilistic state estimation, linear control, and path planning.

0
No votes yet
Apr 28th 2014

Discover the world of mobile robots - how they move, how they interact with the world, and how to build them!

7
Average: 7 (1 vote)
Apr 28th 2014

Explore key ideas in game design, programming, architecture, game engines, player experience and game AI.

7.33333
Average: 7.3 (3 votes)
Self Paced Course - Start anytime

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

0
No votes yet
Mar 31st 2014

Learn about General Game Playing (GGP) and develop GGP programs capable of competing against humans and other programs in GGP competitions.

0
No votes yet
Mar 31st 2014

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests.

0
No votes yet
Self Paced Course - Start anytime

This course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.

0
No votes yet
Mar 4th 2014

Este MOOC se dirige a profesorado relacionado con el ámbito tecnológico, extensible también a personas que tengan interés por conocer el funcionamiento del programa Scratch y de su integración con las placas Arduino, para diseñar robots y videojuegos. El objetivo del MOOC es dotar de recursos pedagógicos para la programación de videojuegos y su uso en las aulas.

0
No votes yet
Mar 4th 2014

Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming.

10
Average: 10 (1 vote)
Mar 3rd 2014

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)
Feb 14th 2014

Introduction to Autonomous Mobile Robots – basic concepts and algorithms for locomotion, perception, and intelligent navigation.

0
No votes yet
Jan 27th 2014

Learn about different voting methods and fair division algorithms, and explore the problems that arise when a group of people need to make a decision.

0
No votes yet
Jan 20th 2014

Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory.

8
Average: 8 (2 votes)
Jan 13th 2014

Dieser Kurs vermittelt einen Überblick über die Grundlagen des Maschinellen Sehens an Hand der Extraktion von 3D-Information aus dem Stereokamerabild einer Szene.

0
No votes yet
Jan 13th 2014

This advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making), mechanism design, and auctions.

0
No votes yet
Jan 13th 2014

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.

0
No votes yet
Jan 10th 2014

We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.

0
No votes yet
Jan 10th 2014

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.

0
No votes yet

Pages

 

Tell your friends: