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Old 10-06-2013, 06:29 PM
GB449 GB449 is offline
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Default Thank you for a great course!

A BIG Thank You to Prof. Yaser Abu-Mostafa for a brilliant course. I enjoyed it right from the start (took me slightly more than a month to read the book, listen to the lectures and attempt (most ) of the assignments). I did this in spite of having a very busy and challenging day job only because of the quality of the book and Prof. Abu-Mostafa's lectures. Thank you again, Professor!

Lecture 18 recommended a few topics for follow up: Bayesian theory, Graphical models, Aggregation and Reinforcement.

I am looking for good books / lectures on those topics. Bayesian Reasoning and Machine Learning by David Barber appears to be a good book. I am interested in both theory and practice. I want to use ML professionally as a data scientist (which I am not right now), so practical would be better. I have a Math. background, so always appreciate the theory but I want to use ML at work. Any recommendations for packages and books will be appreciated. I recently purchased Data Mining with R by Luis Torga.

Thank you!
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Old 10-06-2013, 11:01 PM
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yaser yaser is offline
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Default Re: Thank you for a great course!

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Originally Posted by GB449 View Post
A BIG Thank You to Prof. Yaser Abu-Mostafa for a brilliant course. I enjoyed it right from the start (took me slightly more than a month to read the book, listen to the lectures and attempt (most ) of the assignments). I did this in spite of having a very busy and challenging day job only because of the quality of the book and Prof. Abu-Mostafa's lectures. Thank you again, Professor!
You are most welcome, and thank you for your kind words. I am sorry that I am not as responsive here during this fall term, as I am attending the edX forum where the course is offered and I am pressed for time.
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Old 10-07-2013, 01:45 PM
GB449 GB449 is offline
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Default Re: Thank you for a great course!

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Originally Posted by yaser View Post
You are most welcome, and thank you for your kind words. I am sorry that I am not as responsive here during this fall term, as I am attending the edX forum where the course is offered and I am pressed for time.
The fact that you respond to posts, is good enough When you get the time, could you please suggest follow up reading / courses? I am very interested in building on the foundation from your course. Thank you!
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