E.g., 2016-06-01
E.g., 2016-06-01
E.g., 2016-06-01
May 2nd 2016

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. 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.

Average: 8.7 (13 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: 8.6 (5 votes)
May 18th 2015

Emotions are the backbone of social activities as well as they drive the cognitive processes of several living entities. This course tries to elucidate the controversial nature of emotions and their evolutionary meaning. Several animals, including humans, have emotions but…what about machines? This is a course to feel and think about.

Average: 10 (1 vote)
Feb 6th 2015

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

Average: 8.3 (4 votes)
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.

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Jan 12th 2015

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. The January 2015 session was the final version of the course. It will remain open so that those interested can register and access all the materials.

Average: 10 (3 votes)
Oct 29th 2014

本課程有兩大課程目標: 1. 使同學了解如何以搜尋達成人工智慧 2. 使同學能將相關技術應用到自己的問題上

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Oct 13th 2014

This course will teach you the cognitive science background and the programming bases to design robots and virtual agents capable of autonomous cognitive development driven by their intrinsic motivation.

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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.

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Self Paced Course - Start anytime

This course will present advanced topics in Artificial Intelligence (AI). We will begin by defining the term “software agent” and discussing how software agents differ from programs in general. We will then take a look at those problems in the field of AI that tend to receive the most attention.

Average: 9 (2 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: 6.5 (21 votes)
Self Paced Course - Start anytime


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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: 7.7 (6 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: 7.3 (4 votes)

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