Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
YP
Jul 25, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!
TW
Jul 16, 2019
I am glad I took this class. There are a lot of things think about with respect to structuring your M/L project. Fortunately, it is not as mysterious as people often claim...but it is very nuanced.
1226 - 1250 of 5,743 Reviews for Structuring Machine Learning Projects
By Mohamed M K
•May 27, 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
•May 25, 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
•May 16, 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
•Jun 9, 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
•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
•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
•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
•Nov 18, 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
•Jun 11, 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
•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
•Apr 12, 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
•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
•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
•Feb 27, 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
•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
•Dec 22, 2019
O curso é muito didático e consegue passar os principais conhecimentos sobre Deep Learning de forma direta, concisa e precisa.
By Asaduddin A Z
•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
•Feb 18, 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
•Jan 16, 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
•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
•Jan 27, 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
•Dec 24, 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
•Nov 8, 2017
Machine Learning flight simulator is a really good way to give hands on experience on approach towards practical ML projects..
By Eric M
•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
•Nov 13, 2020
This course really helped me contextualize all the tools and skills I developed in the first two courses of this certificate.