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

44,741 classificações
5,070 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

29 de Nov 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.

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!).

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4601 — 4625 de 5,014 Avaliações para o Structuring Machine Learning Projects

por Jens R

19 de Nov de 2017

Very informative and relevant.

por Ajay P

27 de Set de 2017

good theoretical course on ml.

por Benoit D

16 de Jun de 2019

Lack of practical assignments

por Davide F

20 de Abr de 2019

Interesting but a bit verbose

por Emanuel G

1 de Dez de 2018

Quite short, but nice to have

por Şükrü O

5 de Set de 2018

A good knowledge extension...

por João P J

15 de Out de 2017

Good but not very challenging

por Juan p

2 de Ago de 2020

Interesting concepts. Thanks

por Tomas S

1 de Jun de 2020

Good Work, maybe more speed.

por Sebastian D

12 de Set de 2019

Would have liked some coding

por Bhon B

29 de Jul de 2019

Some errors in video editing

por Thomas W

9 de Mai de 2018

Bit fluffy but good content.

por 李想

27 de Fev de 2018

No programming assignment :(

por 徐衔

16 de Dez de 2017

more exercise will be better

por Hemanth R

10 de Ago de 2020

overall a feel-good course.

por b19077 b

5 de Jul de 2020

Thanks,you are a great help

por Mahmudul H

8 de Set de 2018

Happy to Learning something

por Ashis K C

9 de Out de 2017

It is good, but very short.

por 李浩然

22 de Jul de 2019

not as good as lecture 1&2

por Rahul S

31 de Ago de 2018

No programming assignments

por Gijs O

12 de Abr de 2018

Not as good as the others!

por Philip W

2 de Fev de 2018

Great course but too basic

por Kevin R I

16 de Set de 2019

Not what I was expecting.

por 罗炜儒

28 de Nov de 2018


por Bernard F

27 de Nov de 2017

Difficult but interesting