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

4.8
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46,741 classificações
5,353 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

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!).

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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2651 — 2675 de 5,298 Avaliações para o Structuring Machine Learning Projects

por Kelvin R

16 de Fev de 2018

Good insight to managing larger learning projects

por Patrick E

28 de Jan de 2018

The course helps to prioritize "what to do next".

por Vaibhav B

17 de Nov de 2017

This is the most useful course I have taken on ML

por pablo s

22 de Set de 2017

Great to see real world problems and limitations.

por Chao ( Z

22 de Set de 2017

Helpful for my PhD research! Valuable experience!

por Sl4er

10 de Set de 2017

老师讲的非常清晰易懂。对实际项目很有帮助,以后真正做项目后估计要经常来查看视频,用来指导我的实践!

por 林远泽

22 de Ago de 2017

I learned a lot from this course, thank you a lot

por Gokulraj U

19 de Ago de 2017

Adequate Knowledge on End to End Deep Learning!!!

por Susan M

1 de Jun de 2021

Challenging and useful - presented with clarity.

por Muhammad U J

23 de Mar de 2021

Excellent course with a lot of practical advice.

por José b

12 de Jan de 2021

Excellent coverage of a very practical material!

por Aishik R

14 de Ago de 2020

Delivers exactly what it is supposed to deliver.

por Simbarashe M

8 de Ago de 2020

now l can start implementing my research project

por UnniKrishnen N

13 de Jun de 2020

Amazing course. Questions can be a bit different

por Rajkumar P

15 de Abr de 2020

Very useful course for my knowledge improvement.

por Patrick B

11 de Out de 2019

a lot of examples and i love the simulator part!

por Varun P

11 de Abr de 2019

A very helpful course while working on Projects!

por Alam N

14 de Out de 2018

Thanks to Professor Andrew Ng and Coursera Team.

por Liz M

4 de Ago de 2018

Very useful ! I recommended it to my colleagues

por Jim F

15 de Jun de 2018

Hey this is fun and the Heros talks are awesome.

por 朱琪超

27 de Mar de 2018

Wonderful! Thank U so much.I have learned a lot.

por Vladimir

29 de Jan de 2018

A very good strategical approach to AI projects.

por Matt S

27 de Dez de 2017

We need this to be a DL project leader in future

por MehmetSolmaz

25 de Nov de 2017

Very good details on how to start an ML project.

por Michel-Alexandre C

5 de Nov de 2017

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