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

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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

AM

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.

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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2576 — 2600 de 5,576 Avaliações para o Structuring Machine Learning Projects

por Stoyan A

1 de nov de 2017

Gives great intuition on making progress on an AI project.

por Vin B

25 de out de 2017

Thanks again for this amazing course Prof Andrew and staff

por Zhiyuan Y

9 de out de 2017

这门课从很多角度为我们介绍了实际情况中训练机器学习模型可能遇到的问题和解决方法,是一个很有实战意义的课程,收益颇丰!

por Arnav C

20 de set de 2017

One of the best courses I have ever taken. very practical.

por Adail M R

19 de set de 2017

Very helpful tips on how to start and optimize ML projects

por Hector D M P

2 de set de 2017

Mainly because it was new material that I haven't reviewed

por Balakumar R m

11 de jul de 2021

Pretty interesting ideas this course can grid one's loins

por Tanishka M

24 de abr de 2021

Beautifully captured the essence of ML Project teamwork !

por vijay b n

12 de ago de 2020

Best course and I really enjoyed a lot during the course.

por Puri V

8 de mai de 2020

Great! Andrew Ng is a great teacher. Thank you very much!

por Nibir H

8 de mai de 2020

Really easy to understand and worthy deep learning course

por Pawan S J

8 de mai de 2020

Awesome!! No words to explain the quality of the course!!

por Anshraj S

4 de mai de 2020

Really good content, I really admire Andrew Ng sir a lot.

por Siddam M S

2 de mai de 2020

Machine Learning strategies, development and training set

por C.K. T

15 de abr de 2020

Love the "flight simulator" exercise. Great way to learn.

por Zhi L

17 de mar de 2020

It's really exciting that AI get better and better today!

por Shashank C

11 de abr de 2019

The course was very useful for me, thank you Prof Andrew!

por John G

1 de fev de 2019

Excellent for technical aspects (wich is very important!)

por HOA N

7 de out de 2018

absolutely, this is a very useful course for ML projects.

por 朱欣宇

13 de set de 2018

It really gives me a lot of inspiration,thank you Andrew!

por liyimeng

1 de set de 2018

Very useful principals in building a deeplearning network

por Sumit K

16 de ago de 2018

Excellent course with one of the best faculties available

por Amine H

19 de jan de 2018

Learned A Lot!

Thanks for sharing your experience with us!

por Sekib O

19 de dez de 2017

Really nice tips and tricks directly from the ML experts!

por Yang X

26 de nov de 2017

Thank you Andrew! you make me love deep learning so much!