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

4.8
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35,983 classificações
3,826 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

AM

Nov 23, 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.

WG

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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3376 — 3400 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Antonio H

Jul 02, 2018

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

por Youjiang Y

Jan 16, 2018

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

por zhang l

Mar 17, 2020

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

por gayatri h

Jun 05, 2019

It gives the idea about real life machine learning problems.

por David d V

May 24, 2018

It would have been great to add some programming assignments

por Jeff G

Sep 11, 2017

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

por Pranav B

Jan 30, 2020

Good Course for Beginners need more programming assignments

por Gil E B

Jul 30, 2019

Good Course to learn production pipelines for practical use

por Fereydoon V

Feb 03, 2018

Hope we had programming assignment for this course as well!

por Venkatesh N

Jan 04, 2018

Very good course, It should be last course in specilization

por Pakin S

Nov 28, 2019

Thanks I learn a lot of real world application and problem

por Peter K

Mar 23, 2019

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

por Akshat A

Feb 23, 2019

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

por Joseph C

Apr 10, 2018

Needs programming exercises to help firm up the new ideas.

por QUINTANA-AMATE, S

Mar 20, 2018

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

por Alejandro R V

Jan 08, 2018

Not as interesting as the others, I personally prefer math

por Gopala V

Oct 24, 2017

Gave some ideas on mismatched data and how to address them

por Roberto J

Oct 19, 2017

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

por Vinicius B F

Oct 23, 2017

Content was fantastic, but the videos were badly edited.

por Suresh P I

Sep 10, 2017

Can be potentially folded into other courses if possible

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 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~~