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

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47,335 classificações
5,432 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.

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!).

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4951 — 4975 de 5,393 Avaliações para o Structuring Machine Learning Projects

por Vinay M

10 de Set de 2018

Though brief but really useful.

por Michael B

23 de Fev de 2020

Good concepts, but subjective.

por Michael C

23 de Mai de 2018

Very good experience sharing!!

por Jens R

19 de Nov de 2017

Very informative and relevant.

por Ajay P

27 de Set de 2017

good theoretical course on ml.

por Nicolas M

22 de Jun de 2021

No practice coding at all...?

por Benoit D

16 de Jun de 2019

Lack of practical assignments

por Davide F

20 de Abr de 2019

Interesting but a bit verbose

por Emanuel G

1 de Dez de 2018

Quite short, but nice to have

por Şükrü O

5 de Set de 2018

A good knowledge extension...

por João P J

15 de Out de 2017

Good but not very challenging

por Juan P

2 de Ago de 2020

Interesting concepts. Thanks

por Tomas S

1 de Jun de 2020

Good Work, maybe more speed.

por Sebastian D

12 de Set de 2019

Would have liked some coding

por Bhon B

29 de Jul de 2019

Some errors in video editing

por Thomas W

9 de Mai de 2018

Bit fluffy but good content.

por 李想

27 de Fev de 2018

No programming assignment :(

por 徐衔

16 de Dez de 2017

more exercise will be better

por Hemanth R

10 de Ago de 2020

overall a feel-good course.

por Chaitanya M

5 de Jul de 2020

Thanks,you are a great help

por Mahmudul H

8 de Set de 2018

Happy to Learning something

por Ashis K C

9 de Out de 2017

It is good, but very short.

por 李浩然

22 de Jul de 2019

not as good as lecture 1&2

por Rahul S

31 de Ago de 2018

No programming assignments

por Gijs O

12 de Abr de 2018

Not as good as the others!