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

4.8
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48,223 classificações
5,531 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.

JB

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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2501 — 2525 de 5,497 Avaliações para o Structuring Machine Learning Projects

por Ahmed A K

9 de fev de 2018

very good course with more tricks in AI field with easy way

por Andrew S

1 de fev de 2018

Amazing course, very easy to understand and you learn a lot

por Karun G

24 de nov de 2017

very practical and precise. full of real examples. love it!

por JUNGHOON C

23 de nov de 2017

the most practical course about deep learning in the world!

por Tao H

1 de nov de 2017

Very useful from practical perspective! Highly recommended!

por Ryan L

28 de set de 2017

Wonderful courses, I've learned more about deep learning !

por Min S

8 de set de 2017

Nice course to learn the steps to solve a problem using ML.

por Federico K K

5 de set de 2017

Very useful if you want to start a new project from scratch

por Filao N J

19 de set de 2020

Thank you for all the knowledge you give me. Thanks allot!

por Gautam B

16 de ago de 2020

Learnt many new tricks from the master. Thank you Coursera

por Zhivko G

21 de jun de 2020

The course provides a lot of practically applicable ideas.

por Grandhi V

8 de jun de 2020

Amazing insights and strategies in approaching a problem!!

por Bangamu H A R A B

8 de mai de 2020

Specially appreciate the videos about Deep learning Heroes

por Bryon H

4 de mai de 2020

Lots of useful strategies for many deep learning problems.

por Roman N

22 de abr de 2020

Great techniques and insights from excellent practitioner!

por Yuwei W

2 de mar de 2020

the methods and strategies in this course are very useful!

por ARUMUGAM M M

25 de nov de 2019

Clear Explanation of Minute Techniques in Machine Learning

por Chandu W

3 de nov de 2019

Very systematic and thought-provoking approach. Thank you!

por Jonathan F

9 de ago de 2019

Helpful overview of how to conduct a deep learning project

por Nenad S

8 de jun de 2019

Builds great intuition for building and improving systems.

por Chris W

11 de mai de 2019

Great practical advice for applied deep learning projects!

por Manawaduge D

9 de fev de 2019

Excellent complement to the courses 1 & 2. Very practical.

por Ricardo A

8 de jan de 2019

Great Practical Knowledge and Tools to use in ML projects!

por Andreas G

4 de nov de 2018

A course that every machine learning engineer should take.

por Fred N

28 de out de 2018

Very useful insights and guidelines from real-world cases!