Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize
strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing
human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for
learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping m...
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.
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!).
5551 - 5575 of 5,732 Reviews for Structuring Machine Learning Projects
By Lambert R
•Apr 16, 2018
Dommage qu'il n'y ait pas de TP dans ce cours (seulement 2 quizz)
By Mike T
•Jul 24, 2018
I wished there were exercises besides the quizzes in this course
By Anatolii B
•Oct 1, 2018
some quiz questions are poorly formed, a little disappointing.
By Emmanuel D M
•Apr 21, 2020
I thini the course needs more quizzess and a program exercise
By C. I
•Aug 17, 2017
Very short, not many practical examples. Lots of repetitions.
By W S
•Sep 1, 2019
Video lectures tend to be repetitious, and can be confusing.
By Anthony M
•Oct 23, 2017
Practical knowledge, but I would prefer more hands on coding
By Jiheng R Z
•Sep 9, 2017
Quite a few errors and ambiguities in the practice problems.
By Zingg
•Nov 17, 2017
The topics are interesting however the content is off par.
By Axel G
•Jun 14, 2020
Good content, but very focused on Computer Vision and NLP
By Daniel D
•Sep 4, 2017
The course es good, but it seems still under development.
By Juan A C A
•Aug 30, 2017
It would be better if you include programming exercises.
By A M
•Jan 13, 2018
It was hard to keep interested - lost focus many times
By Brandon C
•Dec 7, 2018
lacking in the usual engaging programming assignments
By Varun S
•Sep 23, 2018
Was expecting more scenarios for real data experience
By Jian Z
•Nov 6, 2017
个人感觉课程的内容比较难于理解，希望老师在设计ppt方面能给出一些完整直观的解释，有的时候书写会不是很清晰
By Bogdan P
•Sep 19, 2018
The course is OK, but it lacks programming exercises
By JETTIBOINA V N D S R P
•Jul 20, 2019
Learned new things but the course was boring.......
By Tzushuan W
•Jun 1, 2019
Wordy and too abstract without hands on experience.
By Evgeny S
•Apr 5, 2018
I would rather expect a course more like a capstone
By Justin C
•Oct 22, 2022
Quiz questions are too vague. Need more clarity.
By Mirko R
•Jan 4, 2021
It's been overall useful, but it's not "hard" ML.
By Rishab K
•Apr 26, 2020
a assignment could be given along with the theory
By Eyüp Ü
•Jun 10, 2023
Some questions in the last quiz was quite vague.
By Eric H
•May 18, 2021
Very little content. Everything was common sense