Comments on: Learn SQL from Stanfords Free Online “Introduction to Databases” Course http://osxdaily.com/2011/10/02/learn-sql-online-free-with-stanford-intro-to-databases/ News, tips, software, reviews, and more for Mac OS X, iPhone, iPad Mon, 20 May 2013 21:00:54 +0000 hourly 1 http://wordpress.org/?v=3.3.2 By: Mukherjee http://osxdaily.com/2011/10/02/learn-sql-online-free-with-stanford-intro-to-databases/#comment-537270 Mukherjee Thu, 04 Apr 2013 05:51:50 +0000 http://osxdaily.com/?p=21875#comment-537270 Any idea when are then going to offer it next time Any idea when are then going to offer it next time

]]> By: Bapu http://osxdaily.com/2011/10/02/learn-sql-online-free-with-stanford-intro-to-databases/#comment-247427 Bapu Mon, 03 Oct 2011 16:30:31 +0000 http://osxdaily.com/?p=21875#comment-247427 Here's a couple more if you like. Artificial Intelligence http://www.ai-class.com/ iTunes U http://www.apple.com/education/itunes-u/ Here’s a couple more if you like.

Artificial Intelligence

http://www.ai-class.com/

iTunes U

http://www.apple.com/education/itunes-u/

]]> By: Jason Calihan http://osxdaily.com/2011/10/02/learn-sql-online-free-with-stanford-intro-to-databases/#comment-247193 Jason Calihan Sun, 02 Oct 2011 19:28:27 +0000 http://osxdaily.com/?p=21875#comment-247193 Same program is offering a Intro to Machine Learning course http://www.ml-class.org/course/auth/welcome "This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). (iv) Reinforcement learning. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas." Same program is offering a Intro to Machine Learning course

http://www.ml-class.org/course/auth/welcome

“This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). (iv) Reinforcement learning. The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.”

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