Chevron Left
Voltar para Structuring Machine Learning Projects

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

48,226 classificações
5,532 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:

2651 — 2675 de 5,500 Avaliações para o Structuring Machine Learning Projects

por 胡青翘

12 de jul de 2019

I learned a lot of useful strategy to play with data.

por 江逸群

10 de fev de 2019

I learn a lot to solve real problem which in project.

por Reinhold L

19 de jan de 2019

Very helpful insights and hints. Thanks to Andrew Ng!

por Alden L

6 de jan de 2019

So intuitive and useful to my future work. Thank you.

por S R

3 de dez de 2018

Good insights for practical machine learning projects

por 李子龙

24 de nov de 2018

really good lesson,thank coursera and

por Man M S

8 de nov de 2018

Great Tips & Techniques to improve the ML Algorithms

por Antonio P

19 de set de 2018

Good course that gives advices to solve real problems

por ruth

5 de set de 2018

Always happy to count with this great course and help

por Marina Z

12 de abr de 2018

Top course with top hints how to handle a ML project.

por Vimit D

28 de mar de 2018

There are a lot of basics that are necessary to learn

por Vytautas U

18 de jan de 2018

Really good tips on strategy on how to build DL model

por g1no

11 de jan de 2018

Quality teaching and information as usual. Thank you.

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