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

32,106 classificações
3,374 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 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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226 — 250 de {totalReviews} Avaliações para o Structuring Machine Learning Projects


Feb 23, 2019

most important course

por Ahmet

Feb 24, 2019

The teaching in this course is so invaluable for interpreting the results. Now, I believe I can understand my models' accuracy based on professors teaching. The professor teaching contains unique knowledge and experience, where you can't reach via the internet, library or asking your university professors. Thank you, Prof. Ng.

por Vishal R K

Feb 24, 2019

So far, this has been the most useful course out of this specialization! Sure, the others might offer more technical expertise, but this trains you things that cannot be taught in a class or a lecture. The application oriented case studies are extremely intriguing and challenging to a person whose knowledge might be completely theoretical. This course trains you to think in real life situations of applying a deep learning model, where to cut costs and effort, where to add more, how to optimize your model to surpass even the human level, and go further etc..

por Eiichi N

Feb 24, 2019

I think this course covers the cases where I tend to bog down and waste time, and has provided me with useful and practical guidelines to get out of them. You should not underestimate the value of this course,

just because there is no coding assignment.

por Joe P

Feb 26, 2019

Very useful course

por Richard S

Feb 27, 2019

great course

por Abhijith A

Feb 27, 2019

If u are ever doing a project on deep learning this course can really save u lot of time and guide u in the right direction

por RAMA R R

Feb 21, 2019

Good Course

por Yehua Y

Mar 05, 2019

Perfect lessons,thanks

por Lun Y

Mar 06, 2019

Though it is a little bit hard for me due to lacking of first hand intuitive, I still learned a lot.

por Pedro B M

Feb 28, 2019

This a course on key practices one should have when developing a ML project. Once again Andrew Ng is very pedagogical, teaching sometimes complex concepts in a easy to understand and practical way. I particularly liked the case studies, where the learned concepts had to be put into practice for decision taking.

por Joey C

Mar 01, 2019

This course includes some basics yet important concepts of training/profiling the NN.

por 荣灿

Feb 28, 2019


por eren a

Feb 28, 2019

Great experience we could leverage from our instructor, Andrew.

Thanks a lot

por Pratik D K

Feb 28, 2019

Really great course, would recommend every machine learning student as well as professional to enroll for this.

por Raivis J

Mar 01, 2019

A guided coding exercise that actualy models the "simulator" scenarios would also be interesting.

por Gabriel L

Mar 02, 2019

As expected, Andrew Ng has delivered an outstanding course where he shares his valuable veteran-like wisdom with us newbies. Thank you so much Prof. Ng!

por Md. Y H

Mar 01, 2019

It's a very helpful course

por Mallikarjun C

Mar 01, 2019

Excellent course

por Hanna P

Mar 02, 2019

A helpful course. It would be nice to review some parts of ML projects even in more details as there are so much places where an ML engineer can be unsure.

por Camilo G

Mar 03, 2019

A great summary of tactics to improve Deep Learning practices, I will continue to look through this videos to see if I continue to apply the practices in the future

por Arvind S

Mar 03, 2019

While there are lots of techniques out there, this course really helps you gain a different perspective on the bigger picture and teaches you to avoid some of the common pitfalls you may encounter


Mar 04, 2019

Excellent course, cover all related with how to evaluate a machine learning project

por Juan A

Mar 04, 2019

Masterpiece. Very accurate and very demanding course . Congrats.

por Bạch T T

Mar 03, 2019

it's good. but hard