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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 44,204
Рецензии: 4,985

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


Mar 31, 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.


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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4376–4400 из 4,932 отзывов о курсе Structuring Machine Learning Projects

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

автор: yifeng z

Feb 27, 2018

kind of lacking in practical assignment. only quiz seems not enough

автор: Roger F

Dec 04, 2017

It would be great to get some explanations in regard to both tests.

автор: Shirley Z

Nov 06, 2017

Could be more examples or coding assignments for transfer learning.

автор: Chao L

Sep 29, 2017

Distills the key and practical aspects of machine learning projects

автор: Chuyi H

Jul 02, 2020

the knowledge is very relevant and the quiz is fun and challenging

автор: Tomas O H

Jun 20, 2019

Very useful intuitions, needs a little more of coding if possible.

автор: Aniceto P M

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

автор: Javier F P V

Oct 19, 2017

Programming assignments for transfer learning would have been nice

автор: Manish C

Jan 29, 2020

Nice to learn skills about project handling in machine learning.

автор: Luis E G

Dec 23, 2019

A little bit boring and repeated info., but still valuable stuff.

автор: Lili W

Aug 20, 2018

Tooo much time to repeat boring things...but still a good lesson!

автор: Nicholas K

May 14, 2018

Worthwhile: good info and the practical aspects of tuning models.