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学生对 提供的 Structuring Machine Learning Projects 的评价和反馈

45,286 个评分
5,159 条评论


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....


Jul 1, 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!).

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.


4951 - Structuring Machine Learning Projects 的 4975 个评论(共 5,101 个)

创建者 Zijing Z

Nov 16, 2017

The topics are interesting however the content is off par.

创建者 Axel G

Jun 14, 2020

Good content, but very focused on Computer Vision and NLP

创建者 Daniel D

Sep 4, 2017

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

创建者 Juan A C A

Aug 30, 2017

It would be better if you include programming exercises.

创建者 Abdullah M

Jan 13, 2018

It was hard to keep interested - lost focus many times

创建者 Brandon C

Dec 6, 2018

lacking in the usual engaging programming assignments

创建者 Varun S

Sep 23, 2018

Was expecting more scenarios for real data experience

创建者 Jian Z

Nov 6, 2017


创建者 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.......

创建者 Tzushuan W

Jun 1, 2019

Wordy and too abstract without hands on experience.

创建者 Evgeny S

Apr 5, 2018

I would rather expect a course more like a capstone

创建者 Mirko R

Jan 4, 2021

It's been overall useful, but it's not "hard" ML.

创建者 Rishab K

Apr 25, 2020

a assignment could be given along with the theory

创建者 shafkat r

Dec 24, 2019

More programming exercises would have been great

创建者 Beatriz S M

Feb 14, 2018

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

创建者 AKUT J R

Aug 16, 2020

Nice module however some repetition of content!

创建者 Mikhail G

Oct 31, 2017

quite short, would be nice to get some practice

创建者 Paavan G

Sep 19, 2020

Could have included some programming exercises

创建者 Thomas A

Mar 26, 2020

Interesting but not very straight-to-the point

创建者 Marco A L H

Sep 24, 2018

not as fun as the other courses of this series

创建者 Manish S

Apr 9, 2018

Content was not enough to create a new course.

创建者 Yan W

Oct 24, 2017

Expect more hand-on code practice or more quiz

创建者 Allan Y

Mar 30, 2018

Should not be a separate course. Too general.

创建者 Adam S

Dec 27, 2017

Some useful insights but not much depth here.