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

4.8
stars
34,667 classificações
3,623 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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3251 — 3275 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Jeramia P

Sep 06, 2018

Videos are a little "unfinished."

por GOI C L

Feb 11, 2018

should have a real tuning example

por Carlo A A D A

Jan 23, 2018

Some minor inaccuracies in videos

por Xinwei

Nov 06, 2017

this is a very practical course.

por Harold P

Jul 02, 2019

Could have been shorter videos.

por Vinay M

Sep 10, 2018

Though brief but really useful.

por Wen-Hung C

May 23, 2018

Very good experience sharing!!

por Jens R

Nov 19, 2017

Very informative and relevant.

por Ajay P

Sep 27, 2017

good theoretical course on ml.

por Benoit D

Jun 16, 2019

Lack of practical assignments

por Davide F

Apr 20, 2019

Interesting but a bit verbose

por Emanuel G

Dec 01, 2018

Quite short, but nice to have

por Şükrü O

Sep 05, 2018

A good knowledge extension...

por João P J

Oct 15, 2017

Good but not very challenging

por Sebastian D

Sep 12, 2019

Would have liked some coding

por Bhon B

Jul 30, 2019

Some errors in video editing

por Thomas W

May 09, 2018

Bit fluffy but good content.

por 李想

Feb 27, 2018

No programming assignment :(

por 徐衔

Dec 17, 2017

more exercise will be better

por Mahmudul H

Sep 08, 2018

Happy to Learning something

por Ashis K C

Oct 09, 2017

It is good, but very short.

por 李浩然

Jul 22, 2019

not as good as lecture 1&2

por Rahul V S

Sep 01, 2018

No programming assignments

por Gijs O

Apr 12, 2018

Not as good as the others!

por Philip W

Feb 02, 2018

Great course but too basic