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

4.8
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44,087 classificações
4,964 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

MG

Mar 31, 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.

JB

Jul 02, 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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4426 — 4450 de 4,911 Avaliações para o Structuring Machine Learning Projects

por heykel

Jan 27, 2020

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

por Rafael G M

Dec 07, 2019

Providing further references would benefit this section

por WEIJIAN K

Nov 15, 2017

You can know well a lot of strategy in machine learning

por B S K

Jul 14, 2020

Good teaching of practical approaches and nice quizzes

por 王毅

Dec 24, 2019

the content is good, but the videos are not well made.

por Shuochen Z

Feb 18, 2019

内容架构很好,讲得也很实用,但觉得课时有些短,许多重要且有趣的问题都未能得到展开详述。期待后续的扩充课程~~

por Gundreddy L M

Sep 11, 2018

excerice should be given for this one proper user case

por Alexey S

Oct 23, 2017

Good class, but 2 previous are much better and useful.

por Lei C

Sep 25, 2017

the answer of the assignment is a little bit arguable.

por SANJAY P

Oct 07, 2020

Content is good. Presentation could have been better.

por Kumari P

May 28, 2020

machine learning project are highly iterative as you.

por diego s

Feb 18, 2020

I miss notebooks for practice, besides questionnaires

por Xinghua J

Sep 06, 2019

If there is some coding practice, it would be better

por Pranjal V

Jul 11, 2020

Very well explained but needs more reading material.

por Hee S K

Apr 18, 2018

It is an unique lecture providing empirical advises.

por Pablo L

Oct 30, 2017

Great set of guidelines. Mostly theoretical, though.

por Cristina G F

Oct 22, 2017

Concrete reminders of important and practical points

por Ktawut T

Oct 10, 2017

Very useful materials for leading a ML research team

por awalin s

Sep 29, 2017

interesting insights about real world implementation

por Yu L

Apr 03, 2020

would like to have more excercise related to coding

por Mage K

Mar 07, 2018

Would've liked to have some programming assignments

por Carlisle

Aug 20, 2017

Introduced a lot on engineering project experiences

por Marcelo A H

May 29, 2020

Very interesting topics were shown in this course.

por William L

Apr 17, 2020

Very useful knowledge that is not commonly taught.

por Alvaro G d P

Nov 27, 2017

Interesting but perhaps we could have gone deeper.