Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai
Sobre o curso
Melhores avaliações
AM
Nov 23, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
3601 — 3625 de {totalReviews} Avaliações para o Structuring Machine Learning Projects
por 侯宇翔
•Dec 14, 2018
Nice work but i think we need more guidelines of how to finish a successful machine learning project
por Bishwarup B
•Jun 05, 2018
The case study two - the quiz scoring in my opinion is not setup properly. For example question 13.
por RIPUNJOY G
•Oct 11, 2017
Good course. Don't know what, but expected more. Wish that next courses will give that opportunity.
por Emma H
•Mar 14, 2020
Would be happy to see also example and problems connected with numerical output in neural networks
por Константин
•Jun 09, 2018
This course compare to other was a bit boring to my opinion. But the whole specialization is great
por Mohamed B
•Aug 25, 2017
Gets repetitive at some parts, but otherwise very useful insights into best practices in the field
por Eric L
•Dec 03, 2018
Very nice course but a bit more subjective than the 2 previous especially about human performance
por Priyansh J
•Nov 28, 2019
Great teacher and great content. thought content could have been more! but overaal it was great.
por Stefan L
•Feb 20, 2019
It's nice to get some insight into projects. It would be great to have even bigger case studies.
por Vaibhav J
•May 19, 2018
It would be a better course if you give more problem assignments. Rest everything was very good.
por yassine a
•Jan 21, 2018
The videos are so long, there is a lot of repetition. it would be better to do it in three weeks
por 鞅骠豪
•Jan 14, 2018
我觉得应加上一些demo使我们更加深刻体会到这些技巧的作用，至少感受一下。此外，强烈建议恢复总结单元，可以不是ppt但至少也要是个文章，总觉得现在的课程有点赶。没很好的方法复习学过的内容！！！
por Mahesh S P
•Apr 23, 2020
Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing
por Anton O
•Mar 07, 2018
A lot of useful information, but perhaps some areas should have been explored in greater depth.
por Timothy D
•Oct 13, 2017
This course was a lot more interesting then I thought it would be. Very useful knowledge here.
por Aby P
•May 25, 2020
learned real life implementation and how things working on industries, but content was so slow
por elias m
•Apr 16, 2020
I wish I had this course when I started working in data science
Thanks
Elias Mokbel, CFA, M.Sc.
por Jochen I
•Mar 01, 2018
Still fun but much less practice (no programming assignments) makes it a little less thorough.
por Nick R
•Jan 07, 2018
Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.
por Bobby
•Oct 24, 2017
Lecture was good but no programming assignment for this course. I took out one star for this.
por Ramachandran C
•Oct 12, 2019
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.
por Arthur J
•Jul 20, 2019
It would be great to have some materials to be able to go back to once done with the course.
por Kyle S
•Oct 23, 2017
This is a great course. It will be an invaluable reference when tackling real-world problem.
por Yang Z
•Oct 21, 2017
Some videos don't end properly and instead give you a black screen to stare at for a minute.
por Amielle D
•Jul 24, 2019
There were some typos throughout the course, but the core topics were still discussed well.
