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

4.8
32,106 classificações
3,374 avaliações

Sobre o curso

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Melhores avaliações

AM

Nov 23, 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.

DC

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

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101 — 125 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Lakshmi N S

Jan 22, 2019

Thank you for clarifying on how to start working on a problem statement, how to approach and how to see the requirement itself.

por liuyaqiu

Jan 23, 2019

Good course for machine learning experience.

por Lim K Z

Jan 22, 2019

I like the "flight simulator". Excellent scenario-based training. I also like one of Ruslan's advice - code the backprop of CNN from scratch to really understand deep learning. Keep it up :)

por Jay K

Jan 23, 2019

Thank You!

por rajesh t

Jan 22, 2019

Best explanation found till now.

por Cesar L A C

Jan 22, 2019

Very meaningful course. Thanks a lot!!

por Fernando G

Jan 23, 2019

Excellent course. Super useful info and tips. Thousand thanks!!

por KimYunSu

Jan 22, 2019

This lecture was really helping to get clear insight of structing machine learning progects!

por Nagaraj R

Jan 23, 2019

Fantastic course. Concepts can be applied right away.

por Claudio C

Feb 19, 2019

I think this is great at any level of expertise. It makes people aware of design methodologies which are not always intuitive.

por imran s

Feb 17, 2019

Well explained !!!

por 任杰文

Feb 17, 2019

It's great for me

por nadaradjane

Feb 06, 2019

Super!!! Excellent... Need your slides Mr. Ng!!!!

por Caroline K

Jan 25, 2019

Very useful, practical advice for launching and optimizing an ML project.

por Son B

Jan 25, 2019

Thank you for Andrew.

por Amir K

Jan 25, 2019

Great Advice - very practical

por Haris M

Jan 25, 2019

Pure Gold!

por Zhiliang W

Jan 25, 2019

Something really useful!

por K. S

Feb 19, 2019

Explained the nuances of Deep Learning that is hard to get from other sources

por Caoliangjie

Feb 20, 2019

T

por Matthew T

Feb 19, 2019

Interesting and short course with a lot of advice about setting up projects

por Ajay S

Feb 21, 2019

A great course learn a lot thanks for the financial aid for the course.

por RAMA R R

Feb 21, 2019

Good Course

por AASHISH B

Feb 23, 2019

most important course

por James C

Feb 24, 2019

Great practical resource