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

33,506 classificações
3,516 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 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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201 — 225 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por W. M V H W

Feb 11, 2019

The content is great but if there were a few exercises where we had to use tensorflow and complete a neural network, it would have been better practice. But the content is great!

por Fangyao S

Feb 11, 2019

Nothing but great!

por John G

Feb 01, 2019

Useful insights that might greatly contribute to the success of a deep learning project. Thank you!

por Pochadri A

Feb 01, 2019

awesome learning on how to handle various challenges that arise out of machine learning.

por John G

Feb 01, 2019

Excellent for technical aspects (wich is very important!)

por Alberto M C

Feb 12, 2019

Good practical advice on how to structure and debug any DL projects

por Ankur T

Feb 12, 2019


por To P H

Jan 18, 2019

Great course!

por Elvis S

Jan 18, 2019

Enjoyed the real world scenarios... I think those were super helpful to understand various scenarios and how to strategize ML tool and resources.

por Ayush S

Feb 02, 2019

As usual TOP NOTCH.

por Shi Y

Feb 03, 2019

Quite inspiring and helpful.

por Juilee D

Feb 02, 2019

completely theoretical , but very very important course from the specialization !

por Nico F

Feb 03, 2019

Finally understood LSTM

por Arun R

Apr 03, 2019

Amazing it was.

por Muhammad H B K

Apr 02, 2019

It was an amazing experience. Thankyou Professor Andrew and Team

por Wei L

Apr 02, 2019


por Rory M

Apr 01, 2019

Great course - it was a nice change of pace to have a higher-level view of the processes involved.

por Nemanja J

Apr 03, 2019

you are the best, this should be referent point of presenting knowledge

por Karel N N

Apr 05, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

por Lien C

Apr 04, 2019

Great practical insights of how to start a ML project, how to improve/optimize the system, how to identify and troubleshoot common problems in deep learning. The course provides comprehensive high level guidelines for anyone who uses machine learning, even without having any programming experience!

por Van N H P

Apr 05, 2019

This course is amazing. These material is so unique to this course and it's hard to find else where.

por Federico A G C

Apr 05, 2019

Surpassing Coursera level performance

por Aparup B

Apr 06, 2019

By far the best of this series. These kind of accumulated lessons are very rare.

por ChenTianyi

Apr 07, 2019


por Bassel G

Apr 08, 2019

A grate course and the grate prof.