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

4.8
estrelas
46,898 classificações
5,380 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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4626 — 4650 de 5,332 Avaliações para o Structuring Machine Learning Projects

por Константин

9 de Jun de 2018

This course compare to other was a bit boring to my opinion. But the whole specialization is great

por Mohamed B

25 de Ago de 2017

Gets repetitive at some parts, but otherwise very useful insights into best practices in the field

por Eric L

3 de Dez de 2018

Very nice course but a bit more subjective than the 2 previous especially about human performance

por Priyansh J

28 de Nov de 2019

Great teacher and great content. thought content could have been more! but overaal it was great.

por Stefan L

20 de Fev de 2019

It's nice to get some insight into projects. It would be great to have even bigger case studies.

por Vaibhav J

19 de Mai de 2018

It would be a better course if you give more problem assignments. Rest everything was very good.

por yassine a

21 de Jan de 2018

The videos are so long, there is a lot of repetition. it would be better to do it in three weeks

por 鞅骠豪

14 de Jan de 2018

我觉得应加上一些demo使我们更加深刻体会到这些技巧的作用,至少感受一下。此外,强烈建议恢复总结单元,可以不是ppt但至少也要是个文章,总觉得现在的课程有点赶。没很好的方法复习学过的内容!!!

por Mahesh S P

23 de Abr de 2020

Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing

por Anna M

6 de Mar de 2018

A lot of useful information, but perhaps some areas should have been explored in greater depth.

por Timothy D

13 de Out de 2017

This course was a lot more interesting then I thought it would be. Very useful knowledge here.

por Gopal S P

11 de Jul de 2020

Great content.

Too many dimensions to think about which is good and exhaustive at the same time

por Aby P

25 de Mai de 2020

learned real life implementation and how things working on industries, but content was so slow

por elias m

16 de Abr de 2020

I wish I had this course when I started working in data science

Thanks

Elias Mokbel, CFA, M.Sc.

por Jochen I

1 de Mar de 2018

Still fun but much less practice (no programming assignments) makes it a little less thorough.

por Nick R

7 de Jan de 2018

Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.

por Bobby

24 de Out de 2017

Lecture was good but no programming assignment for this course. I took out one star for this.

por Ramachandran C

12 de Out de 2019

Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.

por Arthur J

20 de Jul de 2019

It would be great to have some materials to be able to go back to once done with the course.

por Kyle S

23 de Out de 2017

This is a great course. It will be an invaluable reference when tackling real-world problem.

por Yang Z

20 de Out de 2017

Some videos don't end properly and instead give you a black screen to stare at for a minute.

por Akhtar H

9 de Fev de 2021

This is little bit tricky course. But main understanding comes when you solve case studies.

por Neel K

19 de Out de 2020

It was better to include some more case studies. This was a better real-time understanding.

por Michael L

10 de Jun de 2020

Sometimes, the explanations/advices given were too lengthly and contained some repetitions.

por Amielle D

24 de Jul de 2019

There were some typos throughout the course, but the core topics were still discussed well.