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

47,192 classificações
5,421 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!).

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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2851 — 2875 de 5,377 Avaliações para o Structuring Machine Learning Projects

por Genyu Z

6 de Nov de 2019

Very good teaching and satisfying content.

por Martin R

15 de Jul de 2019

Very heplful tips included in this course!

por DurgaSandeep

15 de Jun de 2019

Too good and more informative course in NN

por Alina

10 de Jun de 2019

.this course is perfect. I like it so much

por Vishnusai Y

28 de Jan de 2019

Excellent Course with excellent insights !

por rohit m

14 de Ago de 2018

Gem of an insight !! cannot recommend more

por Jiaming K

5 de Mar de 2018

The assignments are way too easy though...

por Simon W

28 de Dez de 2017


























are really nice!

por Yuliang X

10 de Nov de 2017

very useful for machine learning engineers

por Ted T

3 de Nov de 2017

Very useful for improving my own work!!!!!

por Musalula S

22 de Out de 2017

What a great course. This is a must attend

por Netik A

10 de Out de 2017

will help alot to make the NN model better

por Kartoue M D

5 de Out de 2017

Hands on structuring and tuning ML system!

por Zhang H

25 de Set de 2017

I think this course is very very usefully.

por Vu M D

14 de Set de 2017

very useful and clear. Thank you very much

por Rúben A A S

21 de Mar de 2021

Good basic introduction to understand ML.

por Prashant A

1 de Nov de 2020

Great Insights into Unsupervised Learning

por Julia L

26 de Out de 2020

Thank you Andrew for an excellent course!

por Shiva I

15 de Set de 2020

This is such a good course. Thanks Andrew

por Sanjoy P

14 de Ago de 2020

Very Helpful course. Thank you. Make more

por Julian S V

4 de Ago de 2020

Nice content, and very interesting topics

por Adams A

11 de Jan de 2020

spot on on processes for ML applications.


14 de Out de 2019

Very Good Training and its really useful.

por Dilok P

7 de Set de 2019

Many useful trip and trick for ML project

por 周健航

27 de Jan de 2019

Very useful for deep learning engineering