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

48,154 classificações
5,525 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.


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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5326 — 5350 de 5,491 Avaliações para o Structuring Machine Learning Projects

por Lambert R

16 de abr de 2018

Dommage qu'il n'y ait pas de TP dans ce cours (seulement 2 quizz)

por Mike T

24 de jul de 2018

I wished there were exercises besides the quizzes in this course

por Anatolii B

1 de out de 2018

some quiz questions are poorly formed, a little disappointing.

por Emmanuel D M

21 de abr de 2020

I thini the course needs more quizzess and a program exercise

por C. I

17 de ago de 2017

Very short, not many practical examples. Lots of repetitions.

por W S

31 de ago de 2019

Video lectures tend to be repetitious, and can be confusing.

por Anthony M

23 de out de 2017

Practical knowledge, but I would prefer more hands on coding

por Jiheng R Z

9 de set de 2017

Quite a few errors and ambiguities in the practice problems.

por Zingg

16 de nov de 2017

The topics are interesting however the content is off par.

por Axel G

14 de jun de 2020

Good content, but very focused on Computer Vision and NLP

por Daniel D

4 de set de 2017

The course es good, but it seems still under development.

por Juan A C A

30 de ago de 2017

It would be better if you include programming exercises.

por A M

13 de jan de 2018

It was hard to keep interested - lost focus many times

por Brandon C

6 de dez de 2018

lacking in the usual engaging programming assignments

por Varun S

23 de set de 2018

Was expecting more scenarios for real data experience

por Jian Z

6 de nov de 2017


por Bogdan P

19 de set de 2018

The course is OK, but it lacks programming exercises


20 de jul de 2019

Learned new things but the course was boring.......

por Tzushuan W

1 de jun de 2019

Wordy and too abstract without hands on experience.

por Evgeny S

5 de abr de 2018

I would rather expect a course more like a capstone

por Mirko R

4 de jan de 2021

It's been overall useful, but it's not "hard" ML.

por Rishab K

25 de abr de 2020

a assignment could be given along with the theory

por Eric H

17 de mai de 2021

Very little content. Everything was common sense

por Md. S R F L C

24 de dez de 2019

More programming exercises would have been great

por Beatriz S M

14 de fev de 2018

Very general, I would like to be more specific..