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

45,369 classificações
5,170 avaliações

Sobre o curso

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Melhores avaliações

22 de Nov de 2017

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.

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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4576 — 4600 de 5,113 Avaliações para o Structuring Machine Learning Projects

por Su L

15 de Mar de 2020

Volumns of different vedios are different. Some are too small.

por Yue Z

23 de Fev de 2020

complementary material for the book "machine learning yarning"

por Pankaj R

12 de Mar de 2018

Lot of theory was their. Good but felt asleep after some time.

por Wenhai Z

27 de Nov de 2017

I would wish there were more programming practice assignments.

por Kyle H

22 de Out de 2017

Contained all good content, there just wasn't very much of it.

por Daniel A L G

21 de Set de 2020

The course is so useful, but sometimes the voice turns so low

por Paweł P

11 de Out de 2019

Good overview of the problems occuring while training models.

por Sathiraju E

25 de Mai de 2019

Thank you, Andrew.

This course was very helpful though theory.

por Daniel Z

14 de Ago de 2018

Good course. It would be better with programming assignments.

por Antonio H

2 de Jul de 2018

I could not do the flight simulator test, it was not working.

por Youjiang Y

16 de Jan de 2018

It will be really nice if there is assignment for this course

por Dioselin E B P

13 de Jan de 2021

It's much information for only a one questionnaire for week!

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 G

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 S

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