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

38,840 classificações
4,257 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


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.


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.

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3651 — 3675 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Shuo W

Jan 03, 2018

Pro: useful practical suggestions;

Con: language used in quiz should be further polished.

por Ridvan S

Oct 15, 2017

"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4

por riad s

Sep 21, 2017

I wish there was some practice assignments related to the concepts learnt in this course

por Vinay K

Feb 05, 2020

Info about the approach in applying DL/ML concepts to various scenarios were explained.

por Vishal G

Dec 19, 2019

Interesting course, but all this could have been summarised in the first course itself!

por Hao W

Jun 17, 2019

This course is not so well organized as the previous two. Everything else is very good!

por Donato T

Jun 15, 2019

Very valuable insight in real world usage of DL and guidance in approaching DL projects

por Wilson L

Sep 16, 2017

It would be even better if there are more quiz and assignments made in ipython notebook

por Rohit G

Mar 27, 2020

The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.

por Kirill S

Feb 29, 2020

Useful and short course, but with a lot of information repetition. Could be optimized.

por Ashraf A

Nov 16, 2019

Very helpful in understanding the way the machine learning projects should be managed.

por Dominik F

Jul 25, 2019

Very useful, but some questions were misleading or were not discussed until next week.

por Cristian M D T R

Oct 30, 2017

The material is good, but too short. It could have been compressed in another course.

por Manpreet S B

Oct 08, 2018

Good module to learn about how to structure the ML project and getting insights of it

por Jean L

Aug 20, 2018

I thought there would be more about project management specifics of machine learning.

por Nghia H

May 20, 2018

I feel like this course should be the last course in the sequence, not the third one.

por Chris U

Sep 25, 2017

This class gives an excellent overview of how to optimize a machine learning project.

por Javier L

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course


Apr 09, 2020

It was a good structures machine learning course. It helps us to grab the knowledge.

por 畅 刘

Jun 22, 2018

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

por Shreyas C S

Nov 26, 2017

lot of information. Practical exercise would would helpful to solidify the concepts.

por Lucas N A

Mar 23, 2020

I liked this course. It has really good tips and the quiz is challenging enough :).

por Prajjwal S

Dec 06, 2019

Very much theoretical, could be more helpful if we can piratically see the changes.

por Cosmin D

Oct 16, 2018

Nice and brief with valuable information about machine learning project management.

por Stanley P

Aug 31, 2017

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!