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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição

47,357 classificações
5,435 avaliações

Sobre o curso

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice 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 many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

1 de Dez de 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

30 de Mar de 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.

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4726 — 4750 de 5,397 Avaliações para o Structuring Machine Learning Projects

por Vishal G

19 de Dez de 2019

Interesting course, but all this could have been summarised in the first course itself!

por Hao W

16 de Jun de 2019

This course is not so well organized as the previous two. Everything else is very good!

por donato t

15 de Jun de 2019

Very valuable insight in real world usage of DL and guidance in approaching DL projects

por Wilson L

16 de Set de 2017

It would be even better if there are more quiz and assignments made in ipython notebook

por Takshshila R

1 de Jul de 2020

This gives subtle but important knowledge

about training with different distributions.

por Rohit G

26 de Mar de 2020

The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.

por Kirill S

29 de Fev de 2020

Useful and short course, but with a lot of information repetition. Could be optimized.

por Ashraf A

16 de Nov de 2019

Very helpful in understanding the way the machine learning projects should be managed.

por Dominik F

25 de Jul de 2019

Very useful, but some questions were misleading or were not discussed until next week.

por Cristian

30 de Out de 2017

The material is good, but too short. It could have been compressed in another course.

por Manpreet S B

8 de Out de 2018

Good module to learn about how to structure the ML project and getting insights of it

por Jean L

20 de Ago de 2018

I thought there would be more about project management specifics of machine learning.

por Lim H

20 de Mai de 2018

I feel like this course should be the last course in the sequence, not the third one.

por Chris U

25 de Set de 2017

This class gives an excellent overview of how to optimize a machine learning project.

por Javier L P

17 de Abr de 2020

Missing the notes in between the videos like in the Intro to Machine Learning course


9 de Abr de 2020

It was a good structures machine learning course. It helps us to grab the knowledge.

por 畅 刘

22 de Jun de 2018

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

por Shreyas C S

26 de Nov de 2017

lot of information. Practical exercise would would helpful to solidify the concepts.

por Shubham S

17 de Jun de 2021

Very informative and helpful. But would have loved a bit more assignments/projects.

por Lucas N A

22 de Mar de 2020

I liked this course. It has really good tips and the quiz is challenging enough :).

por Prajjwal S

6 de Dez de 2019

Very much theoretical, could be more helpful if we can piratically see the changes.

por Cosmin D

16 de Out de 2018

Nice and brief with valuable information about machine learning project management.

por Stanley P

31 de Ago de 2017

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!

por 陈波

11 de Jun de 2019

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

por Andrew W

13 de Mar de 2019

Very slow, and probably longer than needed to be, plus only quizzes made it boring