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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
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47,319 classificações
5,430 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

TG
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.

MG
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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4776 — 4800 de 5,392 Avaliações para o Structuring Machine Learning Projects

por Yisheng Y

25 de Jan de 2018

I am pretty surprise that this course does not have programming assginment

por dh

17 de Out de 2017

provide student with some code tests like previous courses may be better .

por Ruifang W

23 de Ago de 2017

quite detailed and easily accepted way of understanding all the materials.

por Sergey I

22 de Ago de 2018

Good and useful material. However the homework is not challenging enough.

por Nimrod P

6 de Fev de 2018

Some video issues, give this course a slightly lower production values...

por Abhishek R

27 de Nov de 2017

Very useful for people working in ML. Short on content but one of a kind.

por Matteo P

23 de Set de 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

por Leon M W

26 de Dez de 2020

Nice but not as informative and well crafted as the previous two courses

por Nabham G

25 de Mai de 2020

Got to learn some insights and guidelines for machine learning projects.

por Madhumathi R

29 de Mai de 2019

It could have been the last course in the specialization instead of 3rd.

por Sébastien D

17 de Nov de 2017

Some effort should be put in editing the videos. Else it is pretty good!

por Paulo A V

16 de Nov de 2017

Innovative contents full with good advises and suggestions in the matter

por Simon L

1 de Nov de 2017

Really good for intuition. Only wish there was some code sprinkled in :)

por Joffre L V

25 de Out de 2017

Very good course, maybe a little more project work would be better, ....

por Prasad D D

3 de Jul de 2020

Great videos. Just too long. Maybe sometimes I feel it to be repetative

por Lucian R

21 de Mai de 2020

It would be more useful to have this course last in the specialization.

por Abhinand S

27 de Mar de 2019

The answers to the questions in the Quiz are ambiguous and subjective.

por Wynand

15 de Fev de 2018

Good, not dissimilar information from what was taught in the ML course

por R. P R

30 de Nov de 2017

Will return to this lecture again in the future as reference material.

por Isaac K

27 de Nov de 2017

Has some useful information, but is lacking any programming exercises.

por george v

2 de Nov de 2017

great-practical advices. nice simulation of the problems in the quizes

por Tianyue Z

11 de Set de 2017

Talks about error analysis and strategies of how to proceed a project.

por Liu X

13 de Set de 2020

the quiz of the 2nd week has a wrong question, in my quiz,this 10th。

por Abhishek N

23 de Dez de 2018

Great course. Loved the lectures, but the assignments were ambiguous.

por Jesús C

13 de Out de 2018

Great course!

I only missed how to deal with unbalanced training sets.