E.g., Saturday, March 28, 2015
E.g., Saturday, March 28, 2015
E.g., Saturday, March 28, 2015
Self Paced

Programming a Robotic Car. Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams.

8
Average: 8 (1 vote)
Self Paced

A real Caltech course, not a watered-down version. This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.

8
Average: 8 (1 vote)
Self Paced

This course introduces the field of artificial intelligence (AI). Materials on AI programming, logic, search, game playing, machine learning, natural language understanding, and robotics introduce the student to AI methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence.

0
No votes yet
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
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
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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
Self Paced

Participants in this class will learn how to build, program, and control haptic devices, which are mechatronic devices that allow users to feel virtual or remote environments. In the process, participants will gain an appreciation for the capabilities and limitations of human touch, develop an intuitive connection between equations that describe physical interactions and how they feel, and gain practical interdisciplinary engineering skills related to robotics, mechanical engineering, electrical engineering, bioengineering, and computer science.

0
No votes yet
Self Paced Course - Start anytime

This course is an introduction to linear algebra. It has been argued that linear algebra constitutes half of all mathematics.

0
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Mar 30th 2015

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
Apr 8th 2015

This course explores the basis of electronic sensing of our world and how we then use these measures to change it.

0
No votes yet
Apr 12th 2015

How can we make robots see like we do? Learn how we make robots perceive the world around them in this exciting six-week course, delivered by Professor Peter Corke.
Robotic Vision introduces you to the field of computer vision and the mathematics and algorithms that underpin it. You'll learn how to interpret images to determine the colour, size, shape and position of objects in the scene.We'll work with you to build an intelligent vision system that can recognise objects of different colours and shapes.

0
No votes yet
Mar 30th 2015

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

0
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Apr 1st 2015

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.

0
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Jan 21st 2015

Build real-world embedded solutions using a bottom-up approach from simple to complex in this hands-on, lab-based course.

0
No votes yet
Mar 4th 2015

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)
Jan 20th 2015

Learn by doing: analyze, design, and build electronic interfaces between sensors and a microcontroller to build a robot or your own creation in this hands-on lab course.

0
No votes yet
Feb 6th 2015

UC Berkeley's upper division course CS188: Introduction to Artificial Intelligence now available to everyone online.

0
No votes yet
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)
Mar 16th 2015

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

8
Average: 8 (4 votes)

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