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

46,089 个评分
5,265 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!).

Mar 30, 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.


5051 - Structuring Machine Learning Projects 的 5075 个评论(共 5,209 个)

创建者 Anatolii B

Oct 1, 2018

some quiz questions are poorly formed, a little disappointing.

创建者 Emmanuel D M

Apr 21, 2020

I thini the course needs more quizzess and a program exercise

创建者 C. I

Aug 17, 2017

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

创建者 W S

Aug 31, 2019

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

创建者 Anthony M

Oct 23, 2017

Practical knowledge, but I would prefer more hands on coding

创建者 Jiheng R Z

Sep 9, 2017

Quite a few errors and ambiguities in the practice problems.

创建者 Zingg

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