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

44,630 classificações
5,053 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

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.

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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4851 — 4875 de 4,997 Avaliações para o Structuring Machine Learning Projects

por Zijing Z

16 de Nov de 2017

The topics are interesting however the content is off par.

por Axel G

14 de Jun de 2020

Good content, but very focused on Computer Vision and NLP

por Daniel D

4 de Set de 2017

The course es good, but it seems still under development.

por Juan A C A

30 de Ago de 2017

It would be better if you include programming exercises.

por Abdullah M

13 de Jan de 2018

It was hard to keep interested - lost focus many times

por Brandon C

6 de Dez de 2018

lacking in the usual engaging programming assignments

por Varun S

23 de Set de 2018

Was expecting more scenarios for real data experience

por Jian Z

6 de Nov de 2017


por Bogdan P

19 de Set de 2018

The course is OK, but it lacks programming exercises


20 de Jul de 2019

Learned new things but the course was boring.......

por Tzushuan W

1 de Jun de 2019

Wordy and too abstract without hands on experience.

por Evgeny S

5 de Abr de 2018

I would rather expect a course more like a capstone

por Rishab K

25 de Abr de 2020

a assignment could be given along with the theory

por shafkat r

24 de Dez de 2019

More programming exercises would have been great

por Beatriz S M

14 de Fev de 2018

Very general, I would like to be more specific..

por AKUT J R

16 de Ago de 2020

Nice module however some repetition of content!

por Mikhail G

31 de Out de 2017

quite short, would be nice to get some practice

por Paavan G

19 de Set de 2020

Could have included some programming exercises

por Thomas A

26 de Mar de 2020

Interesting but not very straight-to-the point

por Marco A L H

24 de Set de 2018

not as fun as the other courses of this series

por Manish S

9 de Abr de 2018

Content was not enough to create a new course.

por Yan W

24 de Out de 2017

Expect more hand-on code practice or more quiz

por Allan Y

30 de Mar de 2018

Should not be a separate course. Too general.

por Adam S

27 de Dez de 2017

Some useful insights but not much depth here.

por Haoran Z

5 de Ago de 2020

sometimes, it really hard to hear the voice