JB
Jul 2, 2020
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!).
ED
Aug 23, 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.
By Miguel A “
•May 23, 2020
I have learned so many things I will be able to use in my real projects. Excellent!
By Sergey D
•Apr 11, 2020
The first two courses in the series are rather boring, but this one is a pure GOLD!
By PRANJAL J
•Feb 17, 2020
Nice and well taught course about the techniques of improving deep learning models.
By Mukkesh M
•Feb 15, 2020
By far the most important course of this specialization. Really wonderful insights.
By 楊惇昱
•Nov 10, 2019
Thank you. Teacher Andrew. I know using systematic methods to improve my model now.
By Ashvinee
•Sep 6, 2019
It is having a great information from starting a new project to training the model.
By Otávio G
•Aug 7, 2019
Best course about how to deal with machine learning projects decisions in practice!
By Anurag W
•Jun 10, 2019
Superb explanation by Prof. Andrew, high quality concepts explained with such ease.
By Soumyadeep D
•May 16, 2019
This is a very impressive course with practical tricks for applied Machine Learning
By Dhruv D B
•Mar 4, 2019
Very practical advice in structuring ML Projects, definitely can be put to good use
By Enrique C
•Mar 4, 2019
Excellent course, cover all related with how to evaluate a machine learning project
By Hector M L
•Sep 28, 2018
muy buen curso para planear tu proyecto al no contar con una gran cantidad de datos
By Francisco A
•Aug 2, 2018
Pretty interesting, with some basic tricks offer you a way to improve your projects
By Pandya N
•Apr 12, 2018
this course gave me lots of ideas about how to do successful deep learning project.
By Rangaraj S
•Oct 28, 2017
Learned a lot about the practical processes involved in a Machine Learning Project.
By Lorenz B
•Oct 21, 2017
Pretty interesting to know about common issues and how to detect resp. solve those.
By Brian H
•Oct 17, 2017
real life practical project experience which is probably hard to find anywhere else
By Axel S
•Sep 21, 2017
Very detailed overview, of what is important in structuring a deep learning project
By Alexander R
•Sep 6, 2017
Quick and nice way to see proper methods for working on and building correct models
By LI H
•Aug 22, 2017
Good as always. The experience from the expert should be very valuable in practice.
By Maninda E
•May 20, 2023
A great practical content taught in a very intuitive way within a very short time!
By Mukund E
•Oct 11, 2021
Very informative tips on assessing your initial model and further making progress.
By Zyro K
•Aug 18, 2021
Knowledge Impactful, gives a similar account of dealing with ML in the real world.
By Jorge R O T
•Aug 23, 2020
Very clear insight on how to approach a machine learning project in the real world
By Lien T T
•Jul 31, 2020
Very helpful on how to start my ML project and improve its performance efficiently