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

48,142 classificações
5,524 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.


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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2876 — 2900 de 5,491 Avaliações para o Structuring Machine Learning Projects

por Salman A

14 de mai de 2018

Awesome course with very practical insights!

por Mehmet Y

6 de jan de 2018

Lots of practical advice. I really loved it.

por Rami P

20 de out de 2017

Very good addition to the overall portfolio!

por Ofentswe L

16 de out de 2017

Great planning projects for machine learning

por Phil A

2 de set de 2017

Examples of the second week are very useful!

por Hoang V

21 de mai de 2020

The flight simulator was really insightfult

por Dr. F R M

16 de abr de 2020

Case study based quizes have been fantastic

por Mohammed Z M

15 de abr de 2020

Great course and important content covered.

por Rishu R

14 de abr de 2020

Great course and a lot of useful materials.

por Guoliang L

9 de abr de 2020

Great courses! Great man! Thank you Andrew!

por Anastasia

18 de mar de 2020

Thank you. Especially for the case studies!

por Hieu N

13 de jan de 2020

Helpful and easy to understand information.

por Aymen B B

19 de out de 2019

Merci pour ce cours .

C'est très instructif.

por Xi W

16 de ago de 2019

The experience of the project is excellent.

por Koosup

10 de ago de 2019

머신러닝 프로젝트의 시작과 문제해결에 대한 전반적 이해를 얻을 수 있었습니다.

por Mrinalini S

11 de mai de 2019

This was a very fun and interesting course!

por Jalendar C H

24 de abr de 2019

Excellent course.. I want to redo do this .

por Peter S

7 de jan de 2019

Andrew Ng is a seriously talented educator.

por Syed M H

16 de set de 2018

One can really say it's a wonderful course!

por Stanisław R

6 de set de 2018

Great tips for managing real world projects

por Jingzhou X

7 de ago de 2018

very useful tips for real world development

por Bourne

23 de abr de 2018


por Johannes S T

31 de dez de 2017

Everything taught in this course is useful.

por CAI X

2 de set de 2017

This is another excellent course by Andrew!

por Konstantin S

18 de ago de 2017

Interesting lectures. Engineering approach.