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

4.8
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38,742 classificações
4,243 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.

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.

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

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

por CHIRAG J

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!

por Chen B

Jun 11, 2019

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

por Andrew W

Mar 13, 2019

Very slow, and probably longer than needed to be, plus only quizzes made it boring

por Darkwing D

Aug 09, 2018

Great course not requiring technical background. Great for QA/overseeing projects.

por mahesh p

Mar 11, 2018

Was more verbose and subjective. Would have liked references to more case studies.

por Litvinau A A

Nov 13, 2017

Great, but sometimes there were a problems with the videos (black screen and etc.)

por Andreea B

Sep 04, 2017

Very good tips and tricks, but I would have preferred it to be even more advanced.

por 蕭博偉

Jan 13, 2020

Briefly share Andrew's experience for directing what to do next in a ML project.

por Jarno R

Sep 11, 2019

Extremely valuable practical information regarding how to structure ML projects.

por Onkar M

Jun 11, 2019

This is a very interesting course but yes this is totally theoretical in nature.