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

45,286 classificações
5,159 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

30 de Mar de 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.

1 de Jul de 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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4626 — 4650 de 5,102 Avaliações para o Structuring Machine Learning Projects

por Pat B

8 de Dez de 2019

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

por liu c

17 de Mar de 2018

A little bit abstract. But still very inspiring!

por Florian M

24 de Ago de 2017

Very interesting tools and ideas for applied ML.

por Jason G

24 de Nov de 2018

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

por Mark

12 de Out de 2018

Great course. Needs deeper practical examples.

por Francis J

25 de Fev de 2018

A lot of insights rather than technical details

por Lukáš L

7 de Jan de 2018

Coding exercises would be great in this course.

por Mares B

17 de Nov de 2020

A little short, maybe more hands on exercises?

por Ed G

8 de Nov de 2020

Concise course with some interesting concepts.

por Tulip T

23 de Jul de 2019

Quite helpful when you start a new ML project.

por S V R

4 de Nov de 2018

The session were simple, could be more complex

por Caique D S C

30 de Jul de 2018

very good course, could be less massive though

por Ivan V

11 de Dez de 2019

I want a program exercise like in 1-2 courses

por Dionysios S

30 de Nov de 2018

I would like to see more practice assessments

por Luis E R

31 de Jul de 2019

Very useful concepts that few people address

por Jun P

22 de Abr de 2018

Kind of boring than the cnn and rnn class ..

por John H

29 de Ago de 2017

Useful content, could be much more succinct.

por vijaykumar

15 de Mai de 2020

This course is awesome and good knowledge .

por Alfredo M

14 de Mar de 2018

There were no practical coding homeworks :(

por Igor C C

14 de Fev de 2018

A little less dense than the other courses.

por Rajesh M

11 de Out de 2017

Can reduce some of the repetitive material


21 de Set de 2020

Maybe add 1 question at the end of videos

por Mr. S A

12 de Set de 2020

a bit slow and no programming assignments

por Shriniwas S U

2 de Mai de 2020

Satisfied with course. Thank u Instructor

por Hamidreza C

7 de Jan de 2020

Good course, nice case studies, liked it.