Chevron Left
Voltar para Structuring Machine Learning Projects

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

48,334 classificações

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


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!).

Filtrar por:

2326 — 2350 de 5,519 Avaliações para o Structuring Machine Learning Projects

por Chetan

21 de abr de 2020

A nice course to get essentials for your machine learning project.

por wilfried l

11 de abr de 2020

Very interesting information to manage a machine learning project!

por Vipul G

19 de mar de 2020

Very insightful to approaching real-life machine learning problems

por Michael D

18 de jan de 2020

Excellent and filled in a lot of holes just like the other courses

por Reetu H

15 de dez de 2019

Lots of real time machine learning issues discussed in the course.

por Toby K

4 de nov de 2019

Good tips for applying DL projects in the real world. Recommended.

por giang t

12 de jun de 2019

This course is easy to understand. I have learned many new things.

por Mohamed S R I

18 de mai de 2019

Very useful content that is not taught in universities. Thank you!

por Augusto R

7 de mai de 2019

Ideas that are worth gold and are very difficult to find elsewhere

por Walker J

21 de mar de 2019

This is a LIGHT for the path of the machine/deep learning engineer

por Tran T D

11 de ago de 2018

outstanding course again! Andrew Ng teach very easy to understand!

por Dan B

7 de jul de 2018

I was skeptical at first but the contents of this course are GOLD!

por Gerard A

29 de jun de 2018

Really useful with real examples, and totally practically oriented

por Jagadish K J

20 de abr de 2018

This course is really important for any Machine Learning engineer.

por 朱耀晨

15 de mar de 2018

Really like Andrew's lecture especially his voice so charming lol.

por Sajid H

6 de mar de 2018

Amazing to learn new technique to move faster in the project life.

por sornpon w

4 de fev de 2018

how can i complain about this great it's short and sweet as always

por Vincent F

27 de jan de 2018

Very useful introduction to how to manage a deep learning project.

por Aman G

24 de jan de 2018

EXCELLENT!! Great examples to explain really important concepts!!!

por Liu Y

23 de jan de 2018

I from china, and I already study the courses from

por Mathias B

30 de dez de 2017

Great tips and insights on everything surrounding the actual work.

por Ashish B

25 de ago de 2017

fantastic material. Not covered in any other courses I have taken.

por Yunfan W

19 de ago de 2017

Very practical and helpful! Thanks for providing such nice course!

por Manuel Á S Á

12 de ago de 2021

I really liked the contents of the course, they seem very useful.

por Fuad A

30 de out de 2020

Very nice, interesting and Informative Course, Thanks prof Andrew