ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
MG
Mar 30, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
By Juan E H
•Jul 8, 2024
Excelent Course, in control and leadership ML Projects from a technical perspective of evaluation
By Alon H
•May 11, 2022
I think this is a very important cours with a potential to save a lot of time for AI developres.
By Dương Đ N
•Feb 5, 2021
This is the best course out of five courses since It does not focus on math or formulas in detail
By Georges B
•Aug 30, 2020
Very instructive guidelines for structuring ML projets and Andreew Ng is excellent in teaching it
By Isha S
•Jul 15, 2020
Very different from what is available on the internet and exactly what I was looking for! Cheers!
By CHRISTIAN K
•Jun 16, 2020
Excellent! Very through and detailed course presented in a very a insightful and interesting way.
By Filipe C d L D
•Jun 10, 2020
Excelente curso para você entender como funciona questões práticas dos projetos de Deep Learning.
By Ukachi O
•May 10, 2020
Very informative especially in planning strategies in the development of machine learning models.
By Andrew C
•Jan 29, 2020
There is no project in this course, but I've learned some strategy, which is really helpful, too.
By Sen C
•Dec 24, 2019
This course really is wonderful in the sense that it gives a proper direction to the ML projects.
By Dejan D
•Oct 9, 2019
I really enjoyed this course... I learned how to make strategies while solving real-life problems
By Anuj D
•Jun 19, 2019
Great course that gives practical tips on making AI models. The simulator exercises are nice too!
By Vaibhav K
•May 28, 2019
The course gives a nice overview of the problems one could encounter when working on ML projects.
By Saurabh S
•Apr 8, 2019
Really helpful course. Lots of information on how should you drive your machine learning project.
By Raivis J
•Mar 1, 2019
A guided coding exercise that actualy models the "simulator" scenarios would also be interesting.
By Kirk B
•Jan 17, 2019
Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.
By Yuqing Z
•Jan 7, 2019
Take this course to guide you in the process of tuning parameters and splitting data sets wisely!
By Chenguang L
•Nov 5, 2018
Pretty good overview, some knowledge not only for deep learning but for all algorithm developers.
By Xie F
•Oct 10, 2018
Something is repeated from previous part, And one vedio is black, Wish editor can crop or modifiy
By Dieter D W
•Sep 10, 2018
I stand by the words of Andrew: you will not find much of this in the textbooks yet. Great stuff!
By Anirban C
•Jun 11, 2018
Will need to revisit these lectures time and again in future while working or real life projects.
By Seha I O
•Apr 8, 2018
Brief, yet full of practical details useful to optimise the ML approach at the onset of projects.
By LakshmiNarayana B
•Feb 9, 2018
This is very good source to improve my ml algorithm performance and how to construct ml network .
By Chetan T
•Dec 12, 2017
I liked the insights into how to approach problems, not something I've seen elsewhere. Thank you!
By Jiameng P
•Oct 25, 2017
It only takes you a short period of time to get a lot of professional experience, thanks, andrew!