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

4.8
estrelas
35,273 classificações
3,698 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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3151 — 3175 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

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 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 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 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.