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Structuring Machine Learning Projects(으)로 돌아가기

deeplearning.ai의 Structuring Machine Learning Projects 학습자 리뷰 및 피드백

34,904개의 평가
3,646개의 리뷰

강좌 소개

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....

최상위 리뷰


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.


Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

필터링 기준:

Structuring Machine Learning Projects의 3,600개 리뷰 중 3476~3500

교육 기관: Mike T

Jul 24, 2018

I wished there were exercises besides the quizzes in this course

교육 기관: Anatolii B

Oct 01, 2018

some quiz questions are poorly formed, a little disappointing.

교육 기관: C. I

Aug 17, 2017

Very short, not many practical examples. Lots of repetitions.

교육 기관: Wayne S

Sep 01, 2019

Video lectures tend to be repetitious, and can be confusing.

교육 기관: Anthony M

Oct 23, 2017

Practical knowledge, but I would prefer more hands on coding

교육 기관: Jiheng R Z

Sep 09, 2017

Quite a few errors and ambiguities in the practice problems.

교육 기관: Zijing Z

Nov 17, 2017

The topics are interesting however the content is off par.

교육 기관: Daniel D

Sep 04, 2017

The course es good, but it seems still under development.

교육 기관: Juan A C A

Aug 30, 2017

It would be better if you include programming exercises.

교육 기관: Abdullah M

Jan 13, 2018

It was hard to keep interested - lost focus many times

교육 기관: Brandon C

Dec 07, 2018

lacking in the usual engaging programming assignments

교육 기관: Varun S

Sep 23, 2018

Was expecting more scenarios for real data experience

교육 기관: Jian Z

Nov 06, 2017


교육 기관: Bogdan P

Sep 19, 2018

The course is OK, but it lacks programming exercises


Jul 20, 2019

Learned new things but the course was boring.......

교육 기관: Tzushuan W

Jun 01, 2019

Wordy and too abstract without hands on experience.

교육 기관: Evgeny S

Apr 05, 2018

I would rather expect a course more like a capstone

교육 기관: shafkat r

Dec 24, 2019

More programming exercises would have been great

교육 기관: Beatriz S M

Feb 14, 2018

Very general, I would like to be more specific..

교육 기관: Mikhail G

Oct 31, 2017

quite short, would be nice to get some practice

교육 기관: Marco A L H

Sep 24, 2018

not as fun as the other courses of this series

교육 기관: Manish S

Apr 09, 2018

Content was not enough to create a new course.

교육 기관: Yan W

Oct 24, 2017

Expect more hand-on code practice or more quiz

교육 기관: Allan Y

Mar 30, 2018

Should not be a separate course. Too general.

교육 기관: Adam S

Dec 27, 2017

Some useful insights but not much depth here.