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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 43,542
Рецензии: 4,901

О курсе

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....

Лучшие рецензии


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.


Jul 02, 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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4401–4425 из 4,850 отзывов о курсе Structuring Machine Learning Projects

автор: Tulip T

Jul 23, 2019

Quite helpful when you start a new ML project.

автор: S V R

Nov 05, 2018

The session were simple, could be more complex

автор: Caique D S C

Jul 31, 2018

very good course, could be less massive though

автор: Ivan V

Dec 11, 2019

I want a program exercise like in 1-2 courses

автор: Dionysios S

Nov 30, 2018

I would like to see more practice assessments

автор: Luis E R

Jul 31, 2019

Very useful concepts that few people address

автор: Jun P

Apr 22, 2018

Kind of boring than the cnn and rnn class ..

автор: John H

Aug 29, 2017

Useful content, could be much more succinct.

автор: vijaykumar

May 15, 2020

This course is awesome and good knowledge .

автор: Alfredo M

Mar 14, 2018

There were no practical coding homeworks :(

автор: Igor C C

Feb 14, 2018

A little less dense than the other courses.

автор: Rajesh M

Oct 11, 2017

Can reduce some of the repetitive material

автор: JEROME D

Sep 21, 2020

Maybe add 1 question at the end of videos

автор: Mr. S A

Sep 12, 2020

a bit slow and no programming assignments

автор: Shriniwas S U

May 02, 2020

Satisfied with course. Thank u Instructor

автор: Hamidreza C

Jan 07, 2020

Good course, nice case studies, liked it.

автор: Gaurav A

Aug 26, 2019

Great course, good structure, nice theory

автор: Akansha B

Aug 03, 2020

Was good as an intro could be hands on..

автор: David A

Nov 19, 2018

Didn't get any practice coding sessions.

автор: Yunfei D

Mar 05, 2018

Why is there no programming assignments?

автор: John K

Sep 19, 2017

I would have liked more hands o examples

автор: Zhen L

Sep 09, 2017

Provide many suggestions about practice.

автор: Michael F

Apr 20, 2018

I would have liked more coding modules.

автор: bhagam a

Mar 12, 2018

It was actually very nice and intuitive

автор: supperhpxd

Jan 07, 2018

will be better if more exercises,thanks