Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
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.
1501 - 1525 of 5,718 Reviews for Structuring Machine Learning Projects
By An S
•Jul 19, 2019
This is a great course! I have learned so many great ideas that I could have never learnt from other courses!
By Paras D
•May 30, 2019
Great course! I haven't found any course where the instructor teaches how to proceed with real-life projects.
By andrew f
•May 8, 2019
Excellent course that helps you to think like an AI practitioner as regarding how to problem solve and debug.
By Gautam D
•Aug 30, 2018
Andrew's explanations are so great and an in-depth analysis of one's model can boost performances incredibly!
By Anirudh R
•Aug 5, 2018
this course is very useful and gives a very good understanding of how to approach a machine learning problem.
By Guru C
•Feb 13, 2018
This is a very good course explaining all the hacks for completing a machine learning project at a super pace
By Boon H T
•Feb 5, 2018
Lots of good advises and guidance for analyzing the performance of neural network effective and efficiently.
By Zhan S
•Dec 27, 2017
very helpful in project level. tells you what decision to make and which direction to go by looking at result
By Ranfi J C d A
•Nov 5, 2017
Un curso imprescindible para aprender a realizar proyectos con Redes Neuronales de manera rápida y eficiente.
By Adrian S
•Oct 20, 2017
This course teaches a data-driven approach to manage an applied ML project, using really accessible concepts.
By Purin W
•May 18, 2021
Introduce real-situation problems and address how to strategically resolve them: very practical information.
By Meet D
•Apr 24, 2021
Andrew uses very confusing language. However, it will help me to think a lot and grab the idea long lasting.
By Vamsi T K S
•Oct 3, 2020
I gain good knowledge from this course. Explanation is very well and clear to understand. Thank you so much.
By Satyajeet P
•May 21, 2020
Another course completed. It was defo good, but wouldve enjoyed more had there been a programming assignment
By Yun-Chen L
•May 7, 2020
It's fantastic journey. You can learn more strategy and real case study in this course. Learn more, do more.
By Vishwas N
•Apr 28, 2020
a very nice course and a huge respect to the people who are behind the screen and to the lovely instructors.
By Iuliia M
•Aug 23, 2019
It was very informative course! I am happy that I have accomplished it. It improved my understandings of ML!
By Gabriel J M G
•Aug 21, 2019
It's a good practical advising course, it help me so much aplying knowledge in text multitask classification
By Mandar K
•Aug 2, 2019
Good course for theoretical understanding. Somethings it is necessary to have an eagle's eye view. Thank you
By Vorotnikov A
•May 12, 2019
Very useful information for deeper understanding of iterating development process and key accents during it.
By Avni G
•Nov 22, 2018
Superb take-aways. Im sure this course knowledge will help me build solid models. Thank you Andrew and Team!
By James H
•Jun 11, 2018
Great course that provides an overview of how to structure ML projects, and various considerations / options
By Yongtao M
•Aug 30, 2017
there are practical content about how to optimise models and accelerate the optimisation process. I like it.
By Li Y
•Aug 13, 2017
I like the high level guidelines part in this course, barely find these kind of material in other resources.
By ATULYA J
•Dec 7, 2020
I really benefitted from lot of invaluable tips and overall approach in advancing machine learning projects