E.g., Tuesday, October 21, 2014
E.g., Tuesday, October 21, 2014
E.g., Tuesday, October 21, 2014
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.

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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.

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Self Paced Course - Start anytime

This course introduces the field of artificial intelligence (AI).

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Self Paced Course - Start anytime

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)
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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Jan 5th 2015

An introduction to network analysis and statistical methods used in contemporary Systems Biology and Systems Pharmacology research.

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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

0
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Self Paced Course - Start anytime

The Computer Science program will provide you with a breadth of experience in software, hardware, and mathematics. As a Computer Science Major, you will be required to complete a total of twenty-one courses.

7
Average: 7 (4 votes)
Self study

To earn the equivalent of a minor in Computer Science, you must complete three or four broad introductory-level courses (Required Core Courses), three upper-level courses (Elective Courses), and one foundational Mathematics course.

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Nov 12th 2014

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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Oct 27th 2014

The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.

0
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Oct 20th 2014

Learn about the historical and philosophical foundations of contemporary science. Explore cutting-edge debates in the philosophy of the physical sciences and philosophy of the cognitive sciences.

0
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Oct 6th 2014

This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.

5
Average: 5 (2 votes)
Sep 29th 2014

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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Sep 22nd 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)

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