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

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47,322 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

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.

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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2551 — 2575 de 5,392 Avaliações para o Structuring Machine Learning Projects

por Pankaj S

15 de Abr de 2018

Undoubtedly the most practical course....Thanks a lot..

por Alexander G

31 de Mar de 2018

Thank's a lot for numerous useful tricks and methodics!

por Wurihan

25 de Mar de 2018

I thought I learnt about engineering theory on projects

por Malek B

16 de Mar de 2018

Amazing courses thank you Andrew and all coursera team.

por brightmart

14 de Mar de 2018

single value metric+dev set let us focus on our target.

por Héctor C

22 de Nov de 2017

This is the course of the program that MAKES YOU THINK.

por Pablo V I

30 de Out de 2017

The best practical machine learning course I ever done!

por Gordon L W C

21 de Out de 2017

Useful practices for building machine learning project.

por David L

13 de Set de 2017

Really useful. lots of useful tips and practical advice

por Victoria G

30 de Ago de 2017

High quality lesson, looking forward to lesson 4 and 5.

por YesMan F

29 de Jul de 2021

a​ huge thanks to deeplearning ai for the great course

por Suraj P

17 de Fev de 2021

Very unique material you can rarely find anywhere else

por PRAKASH K

4 de Jan de 2021

This is really good course and I learnt a lot from it.

por Amit K G

1 de Mai de 2020

Best course to understand how to structure ML projects

por Мазитов М Р

16 de Abr de 2020

found it easy but useful - many thanks for this course

por Maxim V

3 de Nov de 2019

A great source of info otherwise difficult to come by.

por Yazid H

20 de Out de 2019

Short and sweet, ideas very clear and well illustrated

por Himanshu R

14 de Out de 2019

best for basics, derivations and learning from scratch

por Richik G

22 de Set de 2019

understood how to proceed and how to finish a ml model

por Diptanshu S

9 de Abr de 2019

Very practical - Useful concepts for transfer learning

por Nagaraj R

23 de Jan de 2019

Fantastic course. Concepts can be applied right away.

por Sai V K S

20 de Jan de 2019

Highly recommended for deep learning project managers.

por zhiqing h

6 de Nov de 2018

There is no homework. Would be great to have homework.

por Vishnu K K K

29 de Ago de 2018

Useful, practical tips for everyday ML implementations

por Gita D

7 de Ago de 2018

Enjoyed thoroughly and full of practical guidelines...