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

46,441 classificações
5,323 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

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.

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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3176 — 3200 de 5,266 Avaliações para o Structuring Machine Learning Projects

por Luis M C S

7 de Out de 2017

This was extremely valuable

por Mustafa S

1 de Out de 2017

Very interesting and useful

por Apurva

13 de Set de 2017

Awesome material! Loved it!

por Ievgenii K

27 de Ago de 2017

I very love its assignments

por Gustavo A L M

1 de Mai de 2021

Dr. Andrew Ng is the best.

por Rafael O R R

7 de Abr de 2021

well explained as always!!

por Kenneth

11 de Mar de 2021

Plenty of practical advice

por EsmailFakheriAlamdari

22 de Jan de 2021

It was awsome, thanks alot

por Tun Y M

29 de Dez de 2020

I really love this course.

por Leonardo S N

26 de Dez de 2020

Super, extremelly good !!!

por Claudia A L G

31 de Jul de 2020

Challenging and rewarding!

por Shantanu J

26 de Jul de 2020

Great conceptual overview!

por Luan T

16 de Jul de 2020

I really love this course.

por Trupen

13 de Jul de 2020

Please refer to course 2;)

por Yash G

7 de Jul de 2020

Best out of the three yet!

por Ajin J

19 de Jun de 2020

information one. I like it

por Isakov A S

20 de Mai de 2020

There were the best qiuzes

por Sunghyun P

11 de Mai de 2020

Very practical and useful!

por Yang M

4 de Mai de 2020

Best course in the series.

por Nguyen T H

26 de Abr de 2020

Greate lessons and teacher

por Alfredo P

19 de Nov de 2019

keep learning is very nice

por George T

14 de Ago de 2019

Exceptionally insightful!!

por Isuru S A

1 de Ago de 2019

Great course for beginners

por kindalin

1 de Ago de 2019

Thank you for your lecture

por Wang Z

25 de Jun de 2019

Intuitive course. Helpful.