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

46,447 classificações
5,324 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

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.

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!).

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2951 — 2975 de 5,268 Avaliações para o Structuring Machine Learning Projects

por Tony Z

31 de Dez de 2017

excellent course and ideas presented

por Wang F

18 de Nov de 2017

valuable experience for development.

por Rangarajan C

22 de Out de 2017

Very useful to me as a practitioner.

por Chenyao L

18 de Out de 2017

very good teacher, very good lecture

por dapexi

17 de Set de 2017

Very good content, Thank you Andrew.

por Sanjiv R

13 de Set de 2017

Transfer learning from Andrew Ng :-)

por Liam Y

1 de Set de 2017

very useful class, thank you Andrew!

por Rodrigo

21 de Dez de 2020

the favourite of the series so far.

por Thomas F

11 de Nov de 2020

Very useful, practical information!

por Abdillah F

11 de Nov de 2020

Nice and very comprehensive course.

por Anton B

6 de Nov de 2020

Very usefull course!! Thanks a lot!

por Carlo B

28 de Out de 2020

Nice coruse, very compact and clear

por Sanket K

15 de Out de 2020

Excellent and well organized Course

por Neetima G

11 de Out de 2020

INteresting and very helpful course

por Mohamed A M

7 de Set de 2020

thank you, it's super useful course

por Srinivasulu K

26 de Jul de 2020

Exceptional!! Detailed techniques!!

por Christophe P

10 de Jul de 2020

Great big picture and decision tips

por Mubashar I

8 de Mai de 2020

great practical insight is provided

por Конограй А Ф

2 de Fev de 2020

Andrew Ng thank you for this course

por Irini M

2 de Dez de 2019

Excellent course, thank you Andrew!


28 de Set de 2019

Patient, detailed, amaizing course!

por Scott

29 de Jun de 2019

Good brief overview of the material

por 冯箫

20 de Jan de 2019


por Anuj A

19 de Dez de 2018

Excellent course for error analysis

por Sudip C M

12 de Ago de 2018

Excellent course for ML enthusiasts