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

4.8
estrelas
45,248 classificações
5,150 avaliações

Sobre o curso

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Melhores avaliações

AM
22 de Nov de 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

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4501 — 4525 de 5,094 Avaliações para o Structuring Machine Learning Projects

por subho c

29 de Set de 2018

Some hands on exercise to complement the theory would have been excellent.

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 Angel-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.