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

48,205 classificações
5,530 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 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.


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.

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2576 — 2600 de 5,496 Avaliações para o Structuring Machine Learning Projects

por Tan B

14 de fev de 2019

Very good tips on how to fix/improve the training model.

por dmitry p

9 de jan de 2019

Useful course for high level DNN management and planning

por Alexander O

29 de dez de 2018

Terrific content, well-structured and explained clearly.

por Chenxi G

8 de ago de 2018

Some of the assignment questions are a little ambiguous.

por Steven L

22 de jun de 2018

Very good/unique insights into applied machine learning.

por Itrat R

11 de jun de 2018

Fantastic Course!!! Deserves nothing less than 5 star!!!

por Subramaniam V

6 de jun de 2018

Really useful set of principles to guide any ML project.

por Yuri V H V

2 de jan de 2018

great course, it is the basic recipe of machine learning

por Jorge D P

19 de nov de 2017

Quite more useful than it seemed. A must, don't miss it.

por Aaron D

13 de nov de 2017

Really helpful for moving forward a concrete ML project.

por Noam D

3 de set de 2017

Great course, lots of practical information and insights

por LEE C T

22 de nov de 2020

it provides practical tips on applying machine learning

por Kunal K

28 de jun de 2020

Thank you, this helped develop problem solving mindset.

por Dương M N

26 de jun de 2020

Excellent and practical course. Provide very good tips.

por Krishna P D

24 de jun de 2020

Great practical insights on structuring AI, DS projects

por Marc M R

6 de mai de 2020

Muy bueno y util si te estas iniciando en Deep Learning

por EC-A-411 S V

8 de abr de 2020

I have gain tons of knowledge by spending grams of time


27 de ago de 2019

very insightful and relatable to industrial environment

por Alexander R M

7 de mai de 2019

You need to take this course to get the bigger picture!

por ken b

25 de out de 2018

outstanding advice within the videos and simulations...

por Hamidreza F

13 de ago de 2018

Really Helpful for managing the deep learning projects.

por Alexander L

22 de jul de 2018

a lot of real world questions are explained! awesome!!!

por Pankaj S

15 de abr de 2018

Undoubtedly the most practical course....Thanks a lot..

por Alexander G

31 de mar de 2018

Thank's a lot for numerous useful tricks and methodics!

por Wurihan

25 de mar de 2018

I thought I learnt about engineering theory on projects