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

4.8
estrelas
45,329 classificações
•
5,162 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

JB
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!).

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.

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4676 — 4700 de 5,107 Avaliações para o Structuring Machine Learning Projects

por Duvan A

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3 de Mar de 2019

Some videos have edition mistakes

por Zhao Y

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14 de Set de 2018

Need programming practice!!!!!!!!

por Jeramia P

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6 de Set de 2018

Videos are a little "unfinished."

por GOI C L

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11 de Fev de 2018

should have a real tuning example

por Carlo A A D A

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23 de Jan de 2018

Some minor inaccuracies in videos

por Xinwei

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6 de Nov de 2017

this is a very practical course.

por Rutuja B

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12 de Ago de 2020

Great course! Best instructor!!

por Harold P

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1 de Jul de 2019

Could have been shorter videos.

por Vinay M

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10 de Set de 2018

Though brief but really useful.

por Michael B

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23 de Fev de 2020

Good concepts, but subjective.

por Wen-Hung C

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23 de Mai de 2018

Very good experience sharing!!

por Jens R

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19 de Nov de 2017

Very informative and relevant.

por Ajay P

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27 de Set de 2017

good theoretical course on ml.

por Benoit D

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16 de Jun de 2019

Lack of practical assignments

por Davide F

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20 de Abr de 2019

Interesting but a bit verbose

por Emanuel G

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1 de Dez de 2018

Quite short, but nice to have

por Şükrü O

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5 de Set de 2018

A good knowledge extension...

por João P J

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15 de Out de 2017

Good but not very challenging

por Juan p

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2 de Ago de 2020

Interesting concepts. Thanks

por Tomas S

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1 de Jun de 2020

Good Work, maybe more speed.

por Sebastian D

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12 de Set de 2019

Would have liked some coding

por Bhon B

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29 de Jul de 2019

Some errors in video editing

por Thomas W

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9 de Mai de 2018

Bit fluffy but good content.

por 李想

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27 de Fev de 2018

No programming assignment :(

por 徐衔

•
16 de Dez de 2017

more exercise will be better

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