Chevron Left
返回到 Structuring Machine Learning Projects

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

46,193 个评分
5,280 条评论


In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....


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!).

Nov 22, 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.


4776 - Structuring Machine Learning Projects 的 4800 个评论(共 5,226 个)

创建者 龚鑫

Jan 30, 2019


创建者 Kesong C

Oct 3, 2018

Please add some programming practices!

创建者 陈国威

Jul 5, 2020

the course is beneficial for my study

创建者 Lucas V

Jul 28, 2018

I wish there were practical exercises

创建者 Ravi V

Apr 18, 2018

This topics needs more quizzes thanks

创建者 Fabio B

Mar 18, 2019

Quite intresting and well explained

创建者 Omar H G

Mar 9, 2021

I missed the programming exercises


Jul 8, 2020

Should have some practical coding.

创建者 Amrit R

Dec 28, 2019

Great course, but a bit redundant.

创建者 Simin J

Sep 27, 2017

There are a couple of video issues

创建者 Duvan A

Mar 3, 2019

Some videos have edition mistakes

创建者 Zhao Y

Sep 15, 2018

Need programming practice!!!!!!!!

创建者 Jeramia P

Sep 6, 2018

Videos are a little "unfinished."

创建者 GOI C L

Feb 11, 2018

should have a real tuning example

创建者 Carlo A A D A

Jan 23, 2018

Some minor inaccuracies in videos

创建者 Xinwei

Nov 6, 2017

this is a very practical course.

创建者 Rutuja B

Aug 12, 2020

Great course! Best instructor!!

创建者 Harold P

Jul 2, 2019

Could have been shorter videos.

创建者 Vinay M

Sep 10, 2018

Though brief but really useful.

创建者 Michael B

Feb 23, 2020

Good concepts, but subjective.

创建者 Wen-Hung C

May 23, 2018

Very good experience sharing!!

创建者 Jens R

Nov 19, 2017

Very informative and relevant.

创建者 Ajay P

Sep 27, 2017

good theoretical course on ml.

创建者 Benoit D

Jun 16, 2019

Lack of practical assignments

创建者 Davide F

Apr 20, 2019

Interesting but a bit verbose