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
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.
2226 - 2250 of 5,736 Reviews for Structuring Machine Learning Projects
By Bimarsha K
•Jun 1, 2022
Small details are explained well which we could not found anywhere else.
By Yujiang W
•Dec 19, 2021
As a Master student in AI program in JHU, I feel this course very useful!
By Fabricio A
•Apr 24, 2021
The best and most practical knowledge of the five specialization courses.
By Carlos S V A
•Aug 28, 2020
Muy interesante, ayuda bastante si estás trabajando en un proyecto de ML.
By Dileep K
•Jun 6, 2020
It was really good to learn proper methodology of deep learning projects.
By Mohamed A M
•May 20, 2020
Always feeling excited with the knowledge provided in this specialization
By KHALED N
•Apr 27, 2020
really , i gain a lot of information and strategies to handle my projects
By Deepak S
•Apr 13, 2020
Have learnt a load of tactics to sharpen my AI sword :)
THANK YOU SO MUCH!
By William
•Mar 27, 2020
Great course. Looking forward to putting this into practical application
By Sajal C
•Mar 27, 2020
Truly helpful if you want to take a systematic approach for your project.
By Anshuman K
•Jan 16, 2020
Very well explained. The flight simulators were a particularly good idea!
By John T Z
•Jan 5, 2020
This course presents clever solutions to a wide common industry problems.
By Abdalla M
•Oct 12, 2019
Great course, i hope it help me a lot in my upcoming deep learning models
By Jun L
•Apr 29, 2019
This course is really helpful to troubleshoot issues met in ML processes!
By Caroline C
•Jan 25, 2019
Very useful, practical advice for launching and optimizing an ML project.
By Leonardo L
•Oct 1, 2018
It was great to learn practical tips, which were not taught in university
By 吴京城
•Jul 27, 2018
Very useful courses, practical in my real projects of NLP in the company!
By Echedey L
•Jul 7, 2018
Excellent to understand an ML workflow and feel confident about starting.
By Frederic D
•Jul 1, 2018
An interesting approach to make us learn about Machine Learning projects.
By Egor L
•Apr 16, 2018
A lot of useful tips to create neural networks systematically. Thank you!
By KanekiKen
•Jan 20, 2018
The two case studies are challenging but equally interesting and helpful.
By Prabhjot K
•Jan 8, 2018
Awesome course, lot of practical knowledge for implementing deep learning
By Pier L L
•Dec 31, 2017
Good course with a lot of practical insight on how to organize your work.
By Adar B A
•Dec 24, 2017
very useful for understanding how to handle DL results once you get them.
By Wanicca
•Oct 8, 2017
Nice courses about the practical strategy and technique of deep learning.