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

48,226 classificações
5,533 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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2751 — 2775 de 5,501 Avaliações para o Structuring Machine Learning Projects

por nadaradjane

6 de fev de 2019

Super!!! Excellent... Need your slides Mr. Ng!!!!

por Ong J R

18 de nov de 2018

great course but should have include more content

por Ljubisa M

27 de jul de 2018

Years of ML experience condensed in few lectures.

por Pavan S

20 de jul de 2018

Very helpful and educative course. Thanks Andrew!

por 杜凌波

7 de abr de 2018


por Kelvin R

16 de fev de 2018

Good insight to managing larger learning projects

por Patrick E

28 de jan de 2018

The course helps to prioritize "what to do next".

por Vaibhav B

17 de nov de 2017

This is the most useful course I have taken on ML

por pablo s

22 de set de 2017

Great to see real world problems and limitations.

por Chao ( Z

22 de set de 2017

Helpful for my PhD research! Valuable experience!

por Sl4er

10 de set de 2017


por 林远泽

22 de ago de 2017

I learned a lot from this course, thank you a lot

por Gokulraj U

19 de ago de 2017

Adequate Knowledge on End to End Deep Learning!!!

por Jorge C C S

24 de ago de 2021

all courses of this specialization are very good

por Utku M T

23 de jul de 2021

Important applied ML concepts explained clearly.

por Susan M

1 de jun de 2021

Challenging and useful - presented with clarity.

por Muhammad U J

23 de mar de 2021

Excellent course with a lot of practical advice.

por José b

12 de jan de 2021

Excellent coverage of a very practical material!

por Aishik R

14 de ago de 2020

Delivers exactly what it is supposed to deliver.

por Simbarashe M

8 de ago de 2020

now l can start implementing my research project

por UnniKrishnen N

13 de jun de 2020

Amazing course. Questions can be a bit different

por raj k

15 de abr de 2020

Very useful course for my knowledge improvement.

por Patrick B

11 de out de 2019

a lot of examples and i love the simulator part!

por Varun P

11 de abr de 2019

A very helpful course while working on Projects!

por Alam N

14 de out de 2018

Thanks to Professor Andrew Ng and Coursera Team.