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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
estrelas
47,319 classificações
5,430 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

TG
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.

MG
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.

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2776 — 2800 de 5,392 Avaliações para o Structuring Machine Learning Projects

por 林佳佑

2 de Nov de 2018

this course is helpful for learning best model

por Magabandhu D

5 de Jun de 2018

Excellent subject narration with good examples

por Timothy J H

2 de Jun de 2018

Outstanding content and real world simulations

por 暴走

4 de Mai de 2018

very nice!!

I will recommend it to my friends!!

por Ram M

9 de Fev de 2018

Extremely useful course to ML project leaders.

por Jorge Q

12 de Dez de 2017

Great course, as usual Andrew is a great prof.

por PRASHANT K R

5 de Dez de 2017

nice! thanks for offering such a great course.

por Alvaro 梦

5 de Nov de 2017

Very insightful! Just miss some coding samples

por Martha Y S V

16 de Out de 2017

Nice course, but I missed the python practice.

por Oleksandr M

14 de Out de 2017

Very useful tools and recommendations. Thanks!

por Huaizheng Z

25 de Ago de 2017

Good for researcher to review basic knowledge.

por 陈啸

24 de Ago de 2017

This course will help you avoid many mistakes.

por Masahiro M

4 de Mai de 2021

Very practical with really good case studies.

por Maria R

21 de Mar de 2021

Very easy to understand, ilustrative examples

por Chang X

27 de Out de 2020

thanks Andrew for the great course materials!

por Heidy E M N

11 de Ago de 2020

UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.

por mayukh m

13 de Abr de 2020

great case study approach to machine learning

por Christian C

15 de Out de 2019

Excellent practical advise by Prof. Andrew Ng

por Almir I

13 de Mar de 2019

It's a great but short (2 weeks only) course!

por Qasid S

7 de Fev de 2019

I haven't seen this type of guide on any Mooc

por Manuel F

10 de Jan de 2019

Very valuable and practical insights. Thanks!

por Wadikur R

25 de Dez de 2018

This course so essential and I learned a lot.

por ZW

3 de Set de 2018

Great course content, could be longer though.

por Alice G

27 de Jun de 2018

Very good lesson on more strategic approaches

por Kishan B S

18 de Jun de 2018

Very pragmatic course for all data scientists