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  • Yes, unsupervised learning! We have taught too much on classification, regression, SVM, ANN, that focus on supervised learning. Our brains are sub/un-consciously learning about the environment continuously, i.e. doing unsupervised learning.

  • Mr Ng has an interesting pattern in his own speech... starting a sentence in a clear strong audio, and fading to a silent muted tone at the end of a sentence. :) (makes it difficult to hear the complete statement sometimes )

  • Andrew Ng is the best professor I've ever had the privilege to learn from (ml class). 

  • guys dont forget his free online Machine Learning class starting in January.

  • andrew a great machine learning scienctist

  • napakaganda ng video! another one from google

  • REALLY VERY GOOD VIDEO

  • amazing!

  • Usually by an iterative process that first finds a set of basis vectors that sparse represent the current set of observations (images), and then finds new sparse representations (the alphas) using that set of basis functions. Rise and repeat.

  • i don't get how the phi basis functions at 13:00 are derived?

  • @matpalmyt neither do I D:

  • Awesome lecture

  • Fantastic lecture!

  • This talk is awesome; I can quickly pick up key points of deep-learning.

  • Andrew Ng got bored of improving one algorithm so he decided to improve all algorithms at once...

  • i envy people living in the bay area.

    -M

    Redmond (just kidding)

  • Intriguing ideas.

  • If you are interested in Machine learning, see Stanford's Machine Learning Course, here on youtube by the same speaker Andrew Ng

  • Excellent video, very informative and didactic

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