E.g., Tuesday, February 9, 2016
E.g., Tuesday, February 9, 2016
E.g., Tuesday, February 9, 2016
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.

Average: 8.5 (4 votes)
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.

Average: 7.1 (10 votes)
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.

Average: 8.3 (3 votes)
Mar 14th 2016

Aimed at a general business audience, this course demystifies artificial intelligence, provides an overview of a wide range of cognitive technologies, and offers a framework to help you understand their business implications. Some experts have called artificial intelligence "more important than anything since the industrial revolution."[i] That makes this course essential for professionals working in business, operations, strategy, IT, and other disciplines. Throughout the course, participants will build a knowledge base on cognitive technologies to equip them to engage in discussions with colleagues, customers, and suppliers and help them shape cognitive technology strategy in their organization.

Average: 8.5 (4 votes)
Mar 28th 2016

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

No votes yet
Jan 20th 2016

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

Average: 3.6 (5 votes)
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!

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!

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.

No votes yet
Feb 22nd 2016

Explore the history, anatomy and intelligence of robots with this free online course. Test drive robots using exciting simulations.

Average: 10 (1 vote)
Feb 8th 2016

Mobile Robots are increasingly working in close interaction with human beings in environments as diverse as homes, hospitals, public spaces, public transportation systems and disaster areas. The situation is similar when it comes to Autonomous Vehicles, which are equipped with robot-like capabilities (sensing, decision and control). Such robots must balance constraints such as safety, efficiency and autonomy, while addressing the novel problems of acceptability and human-robot interaction. Given the high stakes involved, developing these technologies is clearly a major challenge for both the industry and the human society.

No votes yet
Jan 8th 2016

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.

Average: 7 (2 votes)
Jan 11th 2016

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

Average: 8 (5 votes)
Jan 11th 2016

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

Average: 6.8 (6 votes)
Oct 16th 2015

This course introduces the basics of Digital Signal Processing and computational acoustics, motivated by the vibrational physics of real-world objects and systems.

Average: 4.4 (5 votes)
Nov 10th 2015

The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]

Average: 4 (1 vote)
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.

No votes yet
Jun 15th 2015

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

Average: 9 (2 votes)
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.

Average: 4 (2 votes)

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