Chevron Left
Voltar para Structuring Machine Learning Projects

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

47,508 classificações
5,448 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.

Filtrar por:

2626 — 2650 de 5,411 Avaliações para o Structuring Machine Learning Projects

por BaiChen

10 de Nov de 2017

many useful instructions about machine learning steps

por Glen P

8 de Nov de 2017

Very useful information that is not widely available.

por Jack B

21 de Set de 2017

enjoyed the simulators that used real world examples.

por Yash A

19 de Set de 2017

Very crisp and systematic concepts.Hats off M.Ng Sir!

por Dave P

15 de Set de 2017

Very much enjoying each aspect of this specialization

por Goh Z Y

15 de Set de 2017

Very practical knowledge gain on handling AI projects

por Lyle T

14 de Set de 2017

Excellent practical insights for real-world scenarios

por Shaoduo X

11 de Set de 2017

Nice starter for understanding some "macro" concepts.

por Liekens W

29 de Ago de 2017

Nice overview on how to ML projects can be structered

por Samuel E

28 de Ago de 2017

Some useful insights collected together in one place!

por ZEEN L

28 de Ago de 2017

Very helpful, especially for those who just graduated

por Camilo C V

10 de Ago de 2020

very useful to better plan machine learning problems

por Rekha R

6 de Jun de 2020

Very good for Analyzing and Structuring ML projects.

por prarabdh r 1

29 de Abr de 2020

nice experience sharing.. helped a lot in my project

por Atin B

14 de Abr de 2020

Great course. It helped me a lot, Thank you Coursera

por ding x

21 de Mar de 2020

Thanks very much, Iam happy to learn helpful skills.

por Kees v d T

20 de Fev de 2020

Very usefull for stucuring machine learning projects

por 홍진우

7 de Dez de 2019

지금까지 들은 세 강의중에 최고의 강의였습니다. 실무에 많은 적용을 할 수 있을 것 같습니다.

por Tamas K

5 de Ago de 2019

Great material, for me it was too verbose in places.

por PK M

8 de Jan de 2019

Great insights on real-life problems faces with NNs.

por Andrei V

24 de Ago de 2018

Great way to get a glimpse of a researcher's work :)

por Mirzodaler M

30 de Abr de 2018

Very interesting, useful and helpful course. Thanks!

por afshin m

6 de Fev de 2018

Excellent information, most useful during a project.

por Manuel Q

28 de Dez de 2017

Brilliant course as all Andrew NG courses use to be.