Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
5276 - 5300 of 5,380 Reviews for Structuring Machine Learning Projects
By Pratik k c
•Very Theoretical !!
By Tom M
•I very simple class
By Mathew S
•Its informational
By Kenneth C V
•Complex Material
By Siwei Y
•就两周的课， 我不知道算是凑数吗
By Mohit S
•Not that good.
By Fotsing B K
•to theoritcal
By Yide Z
•too much bugs
By דוד ב
•No Homework!
By Sean L
•Bit tedious
By Leticia R
•Bit boring.
By Wouter M
•A bit short
By Zhen T
•Too simple
By Gonzalo A M
•Too short.
By Sunil S
•Knowledge
By My I
•too easy
By Артеменко Е В
•Too easy
By vamshi
•useful
By Jalis M C
•good
By Debasish D
•Good
By Sajal J
•okay
By KimSangsoo
•괜찮음
By Benedict B
•ich
By Shawn P
•k
By Daniel S
•Definitely not worth paying for (and I literally completed this in one afternoon). Thankfully I did not pay, so it was not that bad value in fairness.
In honesty the lack of value from this course actually says a lot about Andrew Ng's original Machine Learning course, which was consistently excellent. Actually coding in Octave for that class cemented a lot of concepts as well, which this course does not.
The title of the course suggests this is pitched towards more advanced students who already know about Machine Learning but maybe not so much about best practices. This feels far too basic for that demographic. The practices are sensible though and useful, if maybe overly focussed on massive datasets as opposed to the ones that Google *doesn't* deal with on a daily basis. Things like SMOTE could have been mentioned as well, for example.
TL;DR: This feels like a missed opportunity. My advice is don't take it if you've done Andrew Ng's ML course. Google things after that and wait for a decent course that's pitched towards intermediate students.
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