Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
MG
Mar 31, 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.
YP
Jul 26, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃 鞁れ鞝 雮挫毄霌る 甑劚霅 氅嬱 旖旍姢 鞛呺媹雼!
1226 - 1250 of 5,745 Reviews for Structuring Machine Learning Projects
By Mohamed M K
鈥May 28, 2020
Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!
By Luiggi A
鈥May 26, 2020
I loved this course, I learned a lot of how to start and manage a group project if I am starting a new machine learning project
By Anubhav B
鈥May 17, 2020
Very practical advises on this course. Instantly I saw them applied to one problem at hand and very schematic approach as well.
By Paul F G
鈥Jun 10, 2019
Great third course in the series! Feels like we are now catching up to what is currently out there and being done in the field.
By Dongrui J
鈥Mar 9, 2019
Much easier compared to the previous two courses.
Teaching more practice experience and advice rather than algorithm and coding.
By Onur A
鈥Jan 27, 2019
This course gives the strategies that can be applied to various learning problems. The quiz scenarios are also very instructive
By Lakshmi N S
鈥Jan 22, 2019
Thank you for clarifying on how to start working on a problem statement, how to approach and how to see the requirement itself.
By Rishabh J
鈥Nov 19, 2018
Great insights given by this course. I encourage other to take this course and learn to see the big picture of deep learning :)
By Ramya N A
鈥Jun 12, 2018
A clear guidance how/not to address Machine Learning Problems with a good variety of AI applications and case studies to solve.
By Miguel l
鈥Apr 20, 2018
Very good course to understand the problems we might face when dealing/developing a machine learning systems in the real world.
By Carlos S
鈥Apr 13, 2018
Although there is not a programming assignment, it is a must if you want to actually know how to attack a deep learning problem
By Vansh
鈥Jul 3, 2023
fantastic course, I got an insight into how a machine learning project is built and what decisions are made during development
By Julya
鈥Jan 16, 2022
some challenges i've found in real project, I found the recommendation to solve them from this course. thank you Andrew & team
By Mikko S
鈥Feb 28, 2021
Really useful and practical course! The course gave lots of practical advice on how to run efficiently deep learning projects.
By Anuj K S
鈥Apr 11, 2020
Nice one to understand where to start and all parameter to keep in mind while design any Deep Learning Applications. Thank you
By Thiago G M
鈥Dec 23, 2019
O curso 茅 muito did谩tico e consegue passar os principais conhecimentos sobre Deep Learning de forma direta, concisa e precisa.
By Asaduddin A Z
鈥May 2, 2019
This is a great additional course for everyone to structure machine learning until production, Andrew's advice is very useful.
By Claudio C
鈥Feb 19, 2019
I think this is great at any level of expertise. It makes people aware of design methodologies which are not always intuitive.
By ANUSHKA A
鈥Jan 17, 2019
Highly recommended. One of the rare courses which train you for real challenges you face in handling any Data Science project.
By Gary W
鈥May 31, 2018
Very practical cases is really helpful me to understand ML deeply from this course. I like them.
Thanks Andrew and your team!!!
By Baurjan S
鈥Jan 28, 2018
This one was a bit more bumpy, but still well structured. Will need to go over it once again, when done with the whole course.
By Omair M K
鈥Dec 25, 2017
Very practical advice that I can definitely apply in real-life machine learning projects on the job or even on hobby projects.
By PRAHARSH K S
鈥Nov 9, 2017
Machine Learning flight simulator is a really good way to give hands on experience on approach towards practical ML projects..
By Eric M
鈥Aug 24, 2017
A short course, but chock full of practical advice on what to do & what to avoid when working on ML problems. I learned a lot.
By Jennifer R
鈥Nov 14, 2020
This course really helped me contextualize all the tools and skills I developed in the first two courses of this certificate.