Chevron Left
Voltar para Structuring Machine Learning Projects

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

38,546 classificações
4,216 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.

Filtrar por:

3776 — 3800 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Carlisle

Aug 20, 2017

Introduced a lot on engineering project experiences

por William L

Apr 17, 2020

Very useful knowledge that is not commonly taught.

por Alvaro G d P

Nov 27, 2017

Interesting but perhaps we could have gone deeper.

por John H

Aug 26, 2017

Is the flight simulator hw going to be added soon?

por Pat B

Dec 08, 2019

Great course. I liked the compact, 2-week format.

por liu c

Mar 17, 2018

A little bit abstract. But still very inspiring!

por Florian M

Aug 24, 2017

Very interesting tools and ideas for applied ML.

por Jason G

Nov 25, 2018

Not as strong as the other 4 of 5 of the series

por Mark

Oct 13, 2018

Great course. Needs deeper practical examples.

por Francis J

Feb 25, 2018

A lot of insights rather than technical details

por Lukáš L

Jan 07, 2018

Coding exercises would be great in this course.

por Tulip T

Jul 23, 2019

Quite helpful when you start a new ML project.

por S V R

Nov 05, 2018

The session were simple, could be more complex

por Caique D S C

Jul 31, 2018

very good course, could be less massive though

por Виницкий И В

Dec 11, 2019

I want a program exercise like in 1-2 courses

por Dionysios S

Nov 30, 2018

I would like to see more practice assessments

por Luis E R

Jul 31, 2019

Very useful concepts that few people address

por Jun P

Apr 22, 2018

Kind of boring than the cnn and rnn class ..

por John H

Aug 29, 2017

Useful content, could be much more succinct.

por vijaykumar

May 15, 2020

This course is awesome and good knowledge .

por Alfredo M

Mar 14, 2018

There were no practical coding homeworks :(

por Igor C C

Feb 14, 2018

A little less dense than the other courses.

por Rajesh M

Oct 11, 2017

Can reduce some of the repetitive material

por Shriniwas S U

May 02, 2020

Satisfied with course. Thank u Instructor

por Hamidreza C

Jan 07, 2020

Good course, nice case studies, liked it.