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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
estrelas
47,365 classificações
5,437 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

JB
1 de Jul de 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!).

TG
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.

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5376 — 5398 de 5,398 Avaliações para o Structuring Machine Learning Projects

por Gerrit V

19 de Ago de 2019

Much too slow

por Zeyi W

8 de Abr de 2018

Too short

por Christof H

18 de Set de 2017

no praxis

por 태윤 김

9 de Jul de 2018

no funny

por NATHAN W

3 de Mai de 2021

extremely overgeneralized with no information on how to apply any of these concepts to an industry application. No manufacturing facility birdwatches as a source of income.

por Sergey A

1 de Dez de 2017

Extremely boring course without any practice. All the topics explained could be summarized on a dozen of pages which are obviously much easier and faster to read.

por Gianluca M

16 de Mar de 2018

What is this doing here? Just useless. No science, only insights that would be valuable were they not already given in the other courses of the specialization.

por Anshu V J

27 de Jun de 2018

I missed the programming assignments :-(May be it wasnt worth having this entirely as a separate course.It could have been combined with previous 2 courses.

por Rafal J

2 de Out de 2017

Don't understand why there's no way to pause the subscription while waiting for the next course to start.

por omer b

22 de Out de 2020

THis course didnt gave a lot of insight, instead it was probably there to fill up the time.

por yue126

14 de Set de 2017

this course is very useless. Learned little about deep learning in this course

por Mohammad M R

3 de Jan de 2018

I cannot save the quiz ,in non paid mode - why?

por Felix F

19 de Dez de 2017

giving low grade for ongoing delays of course 5

por Tung-Ting Y

2 de Out de 2017

Volume is too low. Class content is not much.

por Rajath R

30 de Nov de 2020

I did not like the course content .

por Арганаиди А С

18 de Ago de 2017

Slow, boring and totally useless

por Milica M

10 de Mai de 2020

boring and uninformative

por Maisam S W

26 de Out de 2017

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por PATEL H S

16 de Mai de 2020

not good as other

por QIUSHI H

15 de Fev de 2019

not quite useful

por Vincent B

6 de Out de 2019

Useless I guess

por Pavel B

5 de Jan de 2019

too easy

por SRUTHI P N

4 de Jun de 2020

good