Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai
Sobre o curso
Melhores avaliações
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!).
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.
4501 — 4525 de 5,161 Avaliações para o Structuring Machine Learning Projects
por Sudeep K
•It could be more detailed. More Code intense! However, the course was really informative.
por Abhishek P
•Initially a bit hard to understand but repeating the session helped to grasp the concepts
por Pedro L A V
•Good course, but there are too many small topics in each week and no hands-on assignment.
por Blake C
•Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.
por Bharat M
•A good theoretical course to help remember the nuances of how to structure a ML project.
por Vikas C
•It was a nice course, it can better if some demo codes are used as an example separately
por Shuo W
•Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
por Ridvan S
•"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
por riad s
•I wish there was some practice assignments related to the concepts learnt in this course
por Vinay K
•Info about the approach in applying DL/ML concepts to various scenarios were explained.
por Vishal G
•Interesting course, but all this could have been summarised in the first course itself!
por Hao W
•This course is not so well organized as the previous two. Everything else is very good!
por Donato T
•Very valuable insight in real world usage of DL and guidance in approaching DL projects
por Wilson L
•It would be even better if there are more quiz and assignments made in ipython notebook
por Takshshila R
•This gives subtle but important knowledge
about training with different distributions.
por Rohit G
•The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
por Kirill S
•Useful and short course, but with a lot of information repetition. Could be optimized.
por Ashraf A
•Very helpful in understanding the way the machine learning projects should be managed.
por Dominik F
•Very useful, but some questions were misleading or were not discussed until next week.
por Cristian D T
•The material is good, but too short. It could have been compressed in another course.
por Manpreet S B
•Good module to learn about how to structure the ML project and getting insights of it
por Jean L
•I thought there would be more about project management specifics of machine learning.
por Lim H
•I feel like this course should be the last course in the sequence, not the third one.
por Chris U
•This class gives an excellent overview of how to optimize a machine learning project.
por Javier L P
•Missing the notes in between the videos like in the Intro to Machine Learning course
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