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

46,920 classificações
5,383 avaliações

Sobre o curso

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

1 de Dez de 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

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4876 — 4900 de 5,334 Avaliações para o Structuring Machine Learning Projects

por Hrishikesh S

3 de Mai de 2020

Less information on some of the topics

por 龚鑫

30 de Jan de 2019


por Kesong C

3 de Out de 2018

Please add some programming practices!

por 陈国威

5 de Jul de 2020

the course is beneficial for my study

por Lucas V

28 de Jul de 2018

I wish there were practical exercises

por Ravi V

18 de Abr de 2018

This topics needs more quizzes thanks

por Fabio B

18 de Mar de 2019

Quite intresting and well explained

por Omar H G

9 de Mar de 2021

I missed the programming exercises


8 de Jul de 2020

Should have some practical coding.

por Amrit R

28 de Dez de 2019

Great course, but a bit redundant.

por Simin J

27 de Set de 2017

There are a couple of video issues

por Duvan A

3 de Mar de 2019

Some videos have edition mistakes

por Zhao Y

15 de Set de 2018

Need programming practice!!!!!!!!

por Jeramia P

6 de Set de 2018

Videos are a little "unfinished."

por GOI C L

11 de Fev de 2018

should have a real tuning example

por Carlo A A D A

23 de Jan de 2018

Some minor inaccuracies in videos

por Xinwei

6 de Nov de 2017

this is a very practical course.

por Rutuja B

12 de Ago de 2020

Great course! Best instructor!!

por Harold P

2 de Jul de 2019

Could have been shorter videos.

por Vinay M

10 de Set de 2018

Though brief but really useful.

por Michael B

23 de Fev de 2020

Good concepts, but subjective.

por Michael C

23 de Mai de 2018

Very good experience sharing!!

por Jens R

19 de Nov de 2017

Very informative and relevant.

por Ajay P

27 de Set de 2017

good theoretical course on ml.

por Nicolas M

22 de Jun de 2021

No practice coding at all...?