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

48,334 classificações

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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4076 — 4100 de 5,520 Avaliações para o Structuring Machine Learning Projects

por Rohan K

27 de mar de 2018

Great job!

por Ran B

13 de mar de 2018

thank you!

por 郑毅腾

1 de mar de 2018


por Zito R

27 de fev de 2018


por Matthew A

26 de fev de 2018


por Francisco A M

22 de fev de 2018


por Bruno A d S

20 de jan de 2018

Nice work!

por Michael M

12 de jan de 2018


por chenzzh

28 de dez de 2017

very nice.

por Jeff X

7 de dez de 2017


por Joris D

2 de dez de 2017

Very good!

por donaghy X

30 de nov de 2017


por lixiang

16 de nov de 2017


por DJ F

29 de out de 2017


por Han C

12 de out de 2017

Thank you!

por Fabrício M B

8 de out de 2017


por 金勤丰

26 de set de 2017

very good!

por 杜永生

31 de ago de 2017


por WXB506

24 de ago de 2017


por Khonsa A A

10 de jul de 2022

Thank You

por liubingxin

28 de abr de 2022

very well


1 de abr de 2022


por Anuradha S

22 de out de 2021


por Ansel J

13 de out de 2021


por Trần N D

14 de ago de 2021

very good