Alberto Bustamante » Artificial Intelligence http://www.albertobustamante.com/blog Just another WordPress weblog Fri, 03 Feb 2012 16:09:15 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Introduction to AI, done! http://www.albertobustamante.com/blog/2012/01/introduction-to-ai-done/ http://www.albertobustamante.com/blog/2012/01/introduction-to-ai-done/#comments Tue, 03 Jan 2012 00:32:12 +0000 Alberto http://www.albertobustamante.com/blog/?p=348 Well, I did it, I passed “Introduction to Artificial Intelligence”! I really enjoyed the experience. Although I was expecting an introductory course, I think its content is very wide. I have learnt more than I expected. Next stop: the Machine Learning course starting this month.

]]> http://www.albertobustamante.com/blog/2012/01/introduction-to-ai-done/feed/ 0 More free courses at Stanford! http://www.albertobustamante.com/blog/2011/08/more-free-courses-at-stanford/ http://www.albertobustamante.com/blog/2011/08/more-free-courses-at-stanford/#comments Thu, 18 Aug 2011 23:30:22 +0000 Alberto http://www.albertobustamante.com/blog/?p=334 My last post was dedicated to Stanford University and its initiative of offering a free online version of the course “Introduction to AI”. Well, now we have good news: “Machine learning” and “Introduction to databases” are going to share this experiment, so next Autumn there will be three free online course to choose from!

]]> http://www.albertobustamante.com/blog/2011/08/more-free-courses-at-stanford/feed/ 0 Free Stanford course: “Introduction to Artificial Intelligence” http://www.albertobustamante.com/blog/2011/08/free-stanford-course-introduction-to-artificial-intelligence/ http://www.albertobustamante.com/blog/2011/08/free-stanford-course-introduction-to-artificial-intelligence/#comments Sun, 07 Aug 2011 15:10:43 +0000 Alberto http://www.albertobustamante.com/blog/?p=327 I have read in Barrapunto (the Spanish version of Slashdot) about an interesting experiencie at Stanford University. Professors Sebastian Thrun and Peter Norvig (co-autor of “Artificial Intelligence, a modern approach”, the “bible” that everyone studying IA has read) are offering a free online version of their course “Introduction to AI”.

This University have published different courses in iTunesU or Youtube (I talked about one of them before, “Machine Learning”). But in this case, they are going one step beyond: all online students will be evaluated, they will have to do the same exercices and exams than Stanford students. And if they pass the course, they will obtain a certificate. And this is for free.

I have signed up to receive more information about this course, it can be an interesting experience.

]]> http://www.albertobustamante.com/blog/2011/08/free-stanford-course-introduction-to-artificial-intelligence/feed/ 2 Predator: learning applied to visual tracking http://www.albertobustamante.com/blog/2011/05/predator-learning-applied-to-visual-tracking/ http://www.albertobustamante.com/blog/2011/05/predator-learning-applied-to-visual-tracking/#comments Tue, 03 May 2011 22:12:34 +0000 Alberto http://www.albertobustamante.com/blog/?p=281

Predator is an open source software developed by Zdenek Kalal at University of Surrey (UK), that uses learning to improve the visual object tracking process.

There are more videos availables in youtube.

Via ALT1040

]]> http://www.albertobustamante.com/blog/2011/05/predator-learning-applied-to-visual-tracking/feed/ 0 Google AI Challenge http://www.albertobustamante.com/blog/2010/09/google-ai-challenge/ http://www.albertobustamante.com/blog/2010/09/google-ai-challenge/#comments Fri, 10 Sep 2010 14:19:45 +0000 Alberto http://www.albertobustamante.com/blog/?p=158 Registration is open for Google AI Challenge 2010. Last year, the selected game was Tron. This edition will use a game called “Planet Wars”, inspired in Galcon.

]]> http://www.albertobustamante.com/blog/2010/09/google-ai-challenge/feed/ 0 Automatic recognition of sarcasm http://www.albertobustamante.com/blog/2010/05/automatic-recognition-of-sarcasm/ http://www.albertobustamante.com/blog/2010/05/automatic-recognition-of-sarcasm/#comments Fri, 21 May 2010 19:38:57 +0000 Alberto http://www.albertobustamante.com/blog/?p=140 sarcasmWhen I read about an automatic sarcasm recognition algorithm, I wanted to know more about it. Sarcasm is not always easy to identify by human beings so… what about a computer? “Semi-supervised recognition of sarcastic sentences in Twitter and Amazon” describes the work done in The Hebrew University testing their SASI algorithm with data extracted from Twitter and Amazon. Although they obtained good results, there is still a lot of work to do in this field (as I expected before reading this article). I found interesting the way they model the problem, and the fact that they obtained better results classifying tweets instead of classifying Amazon data (more structured).

]]> http://www.albertobustamante.com/blog/2010/05/automatic-recognition-of-sarcasm/feed/ 0 Machine Learning in Stanford University http://www.albertobustamante.com/blog/2009/12/machine-learning-in-stanford-university/ http://www.albertobustamante.com/blog/2009/12/machine-learning-in-stanford-university/#comments Thu, 17 Dec 2009 20:51:10 +0000 Alberto http://www.albertobustamante.com/blog/?p=131 stanford-logoMachine Learning is a branch of Artificial Intelligence, that aims to develop systems with the ability of learning from the experience. Machine learning techniques can be used in different fields. For example, recommendation systems (as Amazon), biology, games…

If you are looking for a introduction to Machine Learning, you must visit the Stanford University Youtube channel. You will find a complete course about this topic, taught by Professor Andrew Ng. This is the info of the course:

This course (CS229) provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

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