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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 44,113
Рецензии: 4,968

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....

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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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4351–4375 из 4,918 отзывов о курсе Structuring Machine Learning Projects

автор: Matteo P

Sep 23, 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

автор: Nabham G

May 25, 2020

Got to learn some insights and guidelines for machine learning projects.

автор: Madhumathi R

May 29, 2019

It could have been the last course in the specialization instead of 3rd.

автор: Sébastien D

Nov 17, 2017

Some effort should be put in editing the videos. Else it is pretty good!

автор: Paulo A V

Nov 16, 2017

Innovative contents full with good advises and suggestions in the matter

автор: Simon L

Nov 01, 2017

Really good for intuition. Only wish there was some code sprinkled in :)

автор: Joffre L V

Oct 25, 2017

Very good course, maybe a little more project work would be better, ....

автор: Prasad D D

Jul 03, 2020

Great videos. Just too long. Maybe sometimes I feel it to be repetative

автор: Angel-Lucian R

May 21, 2020

It would be more useful to have this course last in the specialization.

автор: Abhinand S

Mar 28, 2019

The answers to the questions in the Quiz are ambiguous and subjective.

автор: Wynand

Feb 15, 2018

Good, not dissimilar information from what was taught in the ML course

автор: R. P R

Nov 30, 2017

Will return to this lecture again in the future as reference material.

автор: Isaac K

Nov 27, 2017

Has some useful information, but is lacking any programming exercises.

автор: george v

Nov 02, 2017

great-practical advices. nice simulation of the problems in the quizes

автор: Tianyue Z

Sep 11, 2017

Talks about error analysis and strategies of how to proceed a project.

автор: Liu X

Sep 13, 2020

the quiz of the 2nd week has a wrong question, in my quiz,this 10th。

автор: Abhishek N

Dec 23, 2018

Great course. Loved the lectures, but the assignments were ambiguous.

автор: Jesús C

Oct 13, 2018

Great course!

I only missed how to deal with unbalanced training sets.

автор: Jeremy O

Jul 14, 2018

Great information - A few more video errors than in previous courses.

автор: John W

Oct 02, 2017

Another informative course. A bit repetitive but overall very useful.

автор: Jacques J

Sep 06, 2017

Would have loved a lot more content and a lot more practice examples.

автор: Mihir S D

Apr 06, 2020

Great course! Would be better if programming exercises were included

автор: Edoardo S

Feb 02, 2019

A bit too theoretical and not empirical but still really interesting

автор: Dieter V

Apr 23, 2020

The value of this course is mostly in the quizzes. Very insightful.

автор: Michael B

Apr 04, 2018

Well structured material - trigger the desire to know more and more