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

4.8
estrelas
45,369 classificações
5,170 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

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.

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.

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4951 — 4975 de 5,113 Avaliações para o Structuring Machine Learning Projects

por ANAND P

30 de Mai de 2020

It was awesome but not one of the best courses in the specialization!

por David F

22 de Set de 2017

Good insights, but not much material and no programming assignments.

por Mtrix.Blackspecter

3 de Nov de 2017

It was rather disappointing because it didn't meet my expectations.

por Sébastien C

6 de Ago de 2020

Covers interesting concepts at length. Videos could be shortened.

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 Abdullah 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

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰

por Bogdan P

19 de Set de 2018

The course is OK, but it lacks programming exercises

por JETTIBOINA V N D S R P

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.