E.g., Saturday, January 31, 2015
E.g., Saturday, January 31, 2015
E.g., Saturday, January 31, 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
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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
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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
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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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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
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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
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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
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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
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Feb 6th 2015

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

0
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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)
Feb 2nd 2015

Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

0
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Jan 19th 2015

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

0
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Jan 19th 2015

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

0
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Feb 15th 2015

This course is an introduction to the exciting world of robotics and the mathematics and algorithms that underpin it. You’ll develop an understanding of the representation of pose and motion, kinematics, dynamics and control. You’ll also be introduced to the variety of robots and the diversity of tasks to which this knowledge and skills can be applied, the role of robots in society, and associated ethical issues.

0
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Jan 31st 2015

This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.

0
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