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

46,911 classificações
5,382 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.

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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2551 — 2575 de 5,333 Avaliações para o Structuring Machine Learning Projects

por M N

22 de Ago de 2017

Got to know how to structure machine learning projects

por Mario A C F

21 de Mai de 2021

Good information for run a machine learning projects!

por Narendra S

18 de Set de 2020

easy to learn concepts increased the ease of learning

por Esteban G

26 de Ago de 2020

Clear as always, great explanations and to the point.

por Hasaan A

28 de Jul de 2020

Awesome course on how tp make important ML decisions.


17 de Jul de 2020

Yuhuuu ! I did it, It was a good learning experience.

por Jatin G

16 de Jul de 2020

A very good ideas in AI , with a very good instructor

por Tarun R

13 de Jun de 2020

Very practical insights, will save tons of extra work

por Han G

3 de Jun de 2020

Very useful skill in mastering practical DL projects.

por Low Y L

23 de Fev de 2020

Enjoyable, easy to pick up concepts, and very useful.

por Marcelo E D C

23 de Nov de 2019

Unique tips from an amazing teacher, nice assigments.

por Rajat M

2 de Nov de 2019

Best course available online that has helped me a lot

por Haris P D

26 de Out de 2019

Very exceptional and import course for deep learning!

por Paulo A

28 de Jul de 2019

great insights to be applied in practical problems!!!

por Mostafa G

15 de Jul de 2019

Great lecture on administering deep learning projects

por 胡青翘

12 de Jul de 2019

I learned a lot of useful strategy to play with data.

por 江逸群

10 de Fev de 2019

I learn a lot to solve real problem which in project.

por Reinhold L

19 de Jan de 2019

Very helpful insights and hints. Thanks to Andrew Ng!

por Alden L

6 de Jan de 2019

So intuitive and useful to my future work. Thank you.

por S R

3 de Dez de 2018

Good insights for practical machine learning projects

por 李子龙

24 de Nov de 2018

really good lesson,thank coursera and

por Man M S

8 de Nov de 2018

Great Tips & Techniques to improve the ML Algorithms

por Antonio P

19 de Set de 2018

Good course that gives advices to solve real problems

por ruth

5 de Set de 2018

Always happy to count with this great course and help

por Marina Z

12 de Abr de 2018

Top course with top hints how to handle a ML project.