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

4.8
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35,320 classificações
3,706 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.

DC

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

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3226 — 3250 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Edoardo S

Feb 02, 2019

A bit too theoretical and not empirical but still really interesting

por Michael B

Apr 04, 2018

Well structured material - trigger the desire to know more and more

por yifeng z

Feb 27, 2018

kind of lacking in practical assignment. only quiz seems not enough

por Roger F

Dec 04, 2017

It would be great to get some explanations in regard to both tests.

por Shirley Z

Nov 06, 2017

Could be more examples or coding assignments for transfer learning.

por Chao L

Sep 29, 2017

Distills the key and practical aspects of machine learning projects

por Tomas O H

Jun 20, 2019

Very useful intuitions, needs a little more of coding if possible.

por Aniceto P M

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

por Javier F P V

Oct 19, 2017

Programming assignments for transfer learning would have been nice

por Manish C

Jan 29, 2020

Nice to learn skills about project handling in machine learning.

por Luis E G

Dec 23, 2019

A little bit boring and repeated info., but still valuable stuff.

por Lili W

Aug 20, 2018

Tooo much time to repeat boring things...but still a good lesson!

por Nicholas K

May 14, 2018

Worthwhile: good info and the practical aspects of tuning models.

por Alexander Y B

Apr 24, 2018

Good for understand how to spend your time on DL projects I guess

por Kunkyu L

Sep 15, 2017

It's difficult for me, so I have to retake 3 course, when I need.

por harm l

Sep 10, 2017

Theoretical insights in strategic development of your ML project.

por Ziyi

Nov 19, 2018

The answer of Questions from quiz 2 seems to be not so confident

por Mohit K

Jun 29, 2018

Superbly discussed practical problems in the field of ML and DL.

por Ch N

Sep 11, 2017

A programming assignment could be included to learn more better.

por Hamzah A

Sep 07, 2019

It would be better to have some hands on assignment or quizzes.

por Mehmet N

Jan 04, 2019

Some questions/answers of the quizzes were not accurate enough.

por Erik B

May 04, 2018

Provides a more scientific approach into hyperparameter tuning.

por Qihang S

Mar 25, 2018

I hope that in Course 3 there are some programming assignments.

por Yue Z

Feb 23, 2020

complementary material for the book "machine learning yarning"

por Pankaj R

Mar 12, 2018

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