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

45,314 classificações
5,160 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

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.

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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4451 — 4475 de 5,104 Avaliações para o Structuring Machine Learning Projects

por Blake C

20 de Set de 2017

Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.

por Bharat M

24 de Jul de 2020

A good theoretical course to help remember the nuances of how to structure a ML project.

por Vikas C

20 de Jun de 2019

It was a nice course, it can better if some demo codes are used as an example separately

por Shuo W

3 de Jan de 2018

Pro: useful practical suggestions;

Con: language used in quiz should be further polished.

por Ridvan S

15 de Out de 2017

"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4

por riad s

21 de Set de 2017

I wish there was some practice assignments related to the concepts learnt in this course

por Vinay K

5 de Fev de 2020

Info about the approach in applying DL/ML concepts to various scenarios were explained.

por Vishal G

19 de Dez de 2019

Interesting course, but all this could have been summarised in the first course itself!

por Hao W

16 de Jun de 2019

This course is not so well organized as the previous two. Everything else is very good!

por Donato T

15 de Jun de 2019

Very valuable insight in real world usage of DL and guidance in approaching DL projects

por Wilson L

16 de Set de 2017

It would be even better if there are more quiz and assignments made in ipython notebook

por Takshshila R

1 de Jul de 2020

This gives subtle but important knowledge

about training with different distributions.

por Rohit G

26 de Mar de 2020

The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.

por Kirill S

29 de Fev de 2020

Useful and short course, but with a lot of information repetition. Could be optimized.

por Ashraf A

16 de Nov de 2019

Very helpful in understanding the way the machine learning projects should be managed.

por Dominik F

25 de Jul de 2019

Very useful, but some questions were misleading or were not discussed until next week.

por Cristian D T

30 de Out de 2017

The material is good, but too short. It could have been compressed in another course.

por Manpreet S B

8 de Out de 2018

Good module to learn about how to structure the ML project and getting insights of it

por Jean L

20 de Ago de 2018

I thought there would be more about project management specifics of machine learning.

por Nghia H

20 de Mai de 2018

I feel like this course should be the last course in the sequence, not the third one.

por Chris U

25 de Set de 2017

This class gives an excellent overview of how to optimize a machine learning project.

por Javier L P

17 de Abr de 2020

Missing the notes in between the videos like in the Intro to Machine Learning course


9 de Abr de 2020

It was a good structures machine learning course. It helps us to grab the knowledge.

por 畅 刘

22 de Jun de 2018

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

por Shreyas C S

26 de Nov de 2017

lot of information. Practical exercise would would helpful to solidify the concepts.