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

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

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!).

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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4851 — 4875 de 5,397 Avaliações para o Structuring Machine Learning Projects

por zhang l

16 de Mar de 2020

Some of the questions in the quiz set seems a bit confusing.

por gayatri h

4 de Jun de 2019

It gives the idea about real life machine learning problems.

por David d V

24 de Mai de 2018

It would have been great to add some programming assignments

por Jeff O

11 de Set de 2017

Good material, just wish it had more "labs" to work through.

por Juan C M S

8 de Jun de 2020

In some occasions it's been has a bit redundant information

por Pranav B

30 de Jan de 2020

Good Course for Beginners need more programming assignments

por Gil E B

29 de Jul de 2019

Good Course to learn production pipelines for practical use

por Fereydoon V

2 de Fev de 2018

Hope we had programming assignment for this course as well!

por Venkatesh N

3 de Jan de 2018

Very good course, It should be last course in specilization

por Richard M

14 de Out de 2020

Interesting ideas, but not as good structured as course 1.

por Pakin P

28 de Nov de 2019

Thanks I learn a lot of real world application and problem

por Peter K

23 de Mar de 2019

강의 후반부 (2주차) 에 강의 속도가 인위적으로 조정된거 같습니다. 속도가 빨라 이질감이 느껴졌습니다.

por Akshat A

23 de Fev de 2019

Curated content, quite exclusive indeed. Respect to Dr. Ng

por Joseph C

9 de Abr de 2018

Needs programming exercises to help firm up the new ideas.


20 de Mar de 2018

Completely new of what it is out there. Well done Andrew!!

por Alejandro R V

8 de Jan de 2018

Not as interesting as the others, I personally prefer math

por Gopala V

24 de Out de 2017

Gave some ideas on mismatched data and how to address them

por Akshita J

23 de Abr de 2020

An assignment could have been included to let practically

por Roberto J

19 de Out de 2017

A bit dry, would love to see some more concrete examples.

por Vinicius B F

22 de Out de 2017

Content was fantastic, but the videos were badly edited.

por Suresh P I

10 de Set de 2017

Can be potentially folded into other courses if possible

por Hanqiu D

9 de Jan de 2021

It's too easy and cannot be a reasonable single course.

por heykel

27 de Jan de 2020

very helpful to build an intuition for DL strategies...

por Rafael G M

7 de Dez de 2019

Providing further references would benefit this section


15 de Nov de 2017

You can know well a lot of strategy in machine learning