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

46,901 classificações
5,381 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

1 de Jul de 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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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4676 — 4700 de 5,332 Avaliações para o Structuring Machine Learning Projects

por Jean L

20 de Ago de 2018

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

por Lim 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.

por Shubham S

17 de Jun de 2021

Very informative and helpful. But would have loved a bit more assignments/projects.

por Lucas N A

22 de Mar de 2020

I liked this course. It has really good tips and the quiz is challenging enough :).

por Prajjwal S

6 de Dez de 2019

Very much theoretical, could be more helpful if we can piratically see the changes.

por Cosmin D

16 de Out de 2018

Nice and brief with valuable information about machine learning project management.

por Stanley P

31 de Ago de 2017

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!

por 陈波

11 de Jun de 2019

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

por Andrew W

13 de Mar de 2019

Very slow, and probably longer than needed to be, plus only quizzes made it boring

por Darkwing D

9 de Ago de 2018

Great course not requiring technical background. Great for QA/overseeing projects.

por mahesh p

11 de Mar de 2018

Was more verbose and subjective. Would have liked references to more case studies.

por Litvinau A A

13 de Nov de 2017

Great, but sometimes there were a problems with the videos (black screen and etc.)

por Andreea T

4 de Set de 2017

Very good tips and tricks, but I would have preferred it to be even more advanced.

por 蕭博偉

13 de Jan de 2020

Briefly share Andrew's experience for directing what to do next in a ML project.

por Jarno R

11 de Set de 2019

Extremely valuable practical information regarding how to structure ML projects.

por Onkar M

11 de Jun de 2019

This is a very interesting course but yes this is totally theoretical in nature.

por Thomas P

21 de Set de 2017

Good high-level course on how to think about projects implementing Deep Learning

por Nicolo d G

17 de Fev de 2019

A bit short and light to be a course on its own but still useful in the series.

por Jose L M

1 de Out de 2018

Quiz answers were not that clear. They seem more "gotcha" than "deep learning".

por Sumesh R

8 de Abr de 2018

It would be good to have more practical/industry scenarios added to the course.