Practical Predictive Analytics: Models and Methods, Universidad de Washington
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Principales revisiones
por SP
•Dec 23, 2016
Fantastic course! Excellent conceptual teaching for people who already know the subject but need some more clarity on how to approach statistical tests and machine learning.
por KP
•Feb 08, 2016
I enjoy this course. The delivery and the course topics were very interesting. I learnt a lot and peer reviewing other people assignments is a great learning opportunity .
51 revisiones
por Yogesh Baliram Naik
•Feb 20, 2019
Nice course
por Anand Prakash
•Feb 11, 2019
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por Yifei Gong
•Jan 03, 2019
I can feel Prof. Howe tried to cover as much as possible and to build a foundation for both practicing as well as further study on the topics. However, I do feel it is not patient enough to give a detailed yet easy-to-follow explanation for some of the topics, and I had to do quite some self-readings to close the gap. I think it will be helpful if the course can provide some reading materials on how some of the formulas are derived (e.g. gradient descent, logistic regression etc.) as a supplement.
por Benjamin Farcy
•Feb 04, 2018
Meh, if you want to really dive in predictive analytics go to other courses.
por Alon Mann
•Jan 15, 2018
rather nice course. learn R before joining
por Jana Endemann
•Dec 07, 2017
Same as before, subjects are quite interesting, but the video material is of quite low quality.
por Sergio Garofoli
•Oct 30, 2017
Excellent!!
por Roberto Santamaria
•Jun 13, 2017
Very good approach to each method; the assignments are a good test for the topics.
por Menghe Lu
•Jun 12, 2017
great for learner
por Nathaniel Evans
•Jun 08, 2017
I think the amount of course work to lectures was more appropriate than the first segment. I enjoyed the exercises and felt that they mixed the correct amount of theory and applicaiton.
