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.
AM
Nov 22, 2017
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.
By Laam P
•Aug 18, 2017
Fantastic course, I love the way Andrew construct the story and context to apply ML in real world.
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!