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

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48,871 classificações

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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2276 — 2300 de 5,575 Avaliações para o Structuring Machine Learning Projects

por Suraj K

11 de jun de 2020

Amazing learning experience. Assignment-Quiz were nice & interesting.

por Surya R S

14 de mai de 2020

This is really awesome!!!learnt more new things thanks to coursera!!!

por guolianghu

29 de mar de 2020

非常棒的课程,老师讲的例子很有用,让我理解的更加深刻。

通过这一系列课程也可以加强我的深度学习基本功。另外,希望我的研究生入学考试复试顺利。

por Shervin M

3 de mar de 2020

Nice and representative case studies, though seldom a bit subjective.

por 象道

16 de set de 2019

the best empirical knowledge that is accessible by new practitioners.

por Andrés D

25 de jul de 2019

Great Course this is the only place where I have found this material!

por Yasiru B S P

21 de jul de 2019

Great Insight on how to manipulate the knowledge for real life cases.

por Abdallah A E M W

7 de jun de 2019

Great course that helps you to start off the machine learning project

por Jiapeng Z

20 de abr de 2019

It really helps me a lot. I like the style of Professor Ng very much!

por Regi M

20 de mar de 2019

The details covered by Prof.Ng is amazing. It was beyond expectation.

por saket g

20 de jan de 2019

Very well organized course work. I think the best available till now.

por Woojae K

30 de dez de 2018

One of the most useful machine learning advices on practical matters.

por Yi X C

27 de out de 2018

Well designed quizzes and simple explanation. Great for practitioners

por Abdur R M

18 de out de 2018

Awesome course providing good guidelines to improve the ML algorithm.

por MAIZA H

15 de set de 2018

Great course .. honestly these tricks are a must have !! thank you !!

por Shuangqi

28 de jun de 2018

Learned a lot about choose the correct metric and do error analyzing.

por 許天明

29 de mar de 2018

Very helpful real machine learning project insights from this course.

por Imran Y

10 de fev de 2018

Extremely useful practical information which you don't find in books!

por Filip V

6 de fev de 2018

Really great insights from an experienced practitioner! Thanks Andrew

por sunaram p

26 de jan de 2018

I bet this course is going to be pretty helpful for me in the future.

por Guruprasad S

14 de jan de 2018

So many useful tips for practical machine learning and deep learning.

por Younng-Jin K

13 de jan de 2018

Good Deep Learning course in the sense of how to carry out a project.

por Ravi K

21 de dez de 2017

Great practical tips and systematic approaches taught. Thanks Andrew!

por Diego M

23 de nov de 2017

Great approach to problem solving strategy, beyond the technicalities

por Ahmed A E

16 de nov de 2017

wonderful way to approach incomplete, incorrect, non homogeneous data