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學生對 Google 云端平台 提供的 特色工程 的評價和反饋

4.5
1,624 個評分
179 條評論

課程概述

Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models....

熱門審閱

GS
2020年4月8日

This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.

OA
2018年11月25日

It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.

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126 - 特色工程 的 150 個評論(共 179 個)

創建者 Emily T

2019年7月5日

This course really needs more hands on work with code, but it was still good and I learned lots.

創建者 Sandeep K

2018年7月29日

this was really good, except removed one start for trifacta integration of dataflow lab.

創建者 Nagireddy S R

2018年12月13日

Felt like it was cut short at the end. Would like to see a bit more on the tf.transform

創建者 borja v

2019年6月21日

the course needs some code upgrades because of ML engine is close to be depecreated

創建者 ThemisZ

2020年2月4日

very nice course , -1 star for no pdf/ppt notes made available

創建者 Alexander Z

2018年12月29日

great content and cool notebooks ... sometimes hard to follow

創建者 Marcos H

2018年11月8日

Very practical and Lak is a great teacher and communicator!

創建者 Fernandes M R

2020年5月15日

Maybe a little more example of how deal with features.

創建者 Malithi N

2020年5月25日

This course explains theories nicely with labs

創建者 Joel M

2018年12月6日

good clear instructions, and valuable content.

創建者 Anupam P

2019年8月26日

Comprehensive yet precise and clear.

創建者 Rohit K A

2018年12月24日

No course material for reference

創建者 Wen-Hung C

2020年11月29日

Very important information here

創建者 Rahul K

2019年5月5日

Lovely Course. Thanks Google

創建者 Ripunjoy G

2019年11月21日

Labs have problems

創建者 Rohit K S

2020年9月18日

Interesting!!

創建者 Abhishek S

2020年9月21日

very helpful

創建者 Terry L

2019年5月1日

개요를 알게 되서 좋음

創建者 Benjamin F

2020年4月8日

noice

創建者 Ahmad T

2019年8月27日

Great

創建者 Yingchuan H

2018年9月16日

The content of this course might be a bit too much for one week compared to previous courses in the specialization. Also, it would be great if some of the labs are more clarified and introduce more opportunities for students to participate in writing code for the lab session rather than just going through it and running existing code. I did experience some issues installing the tf transform package for the last lab, which might not be a common issue, but was kind of frustrating as it prevents me from more exploration of the learned skills. Thanks for providing the course anyway. I learned a lot from it.

創建者 Fabrizio F

2018年8月6日

The subject is very interesting and I was alwyas curious about how Feature Engineering should be done with Tensorflow. I come from Pandas, where feature engineering is not that difficult, but with Tensorflow it is different and not that intuitive. Here in the course three different ways are presented. I guess I'll have to study more Apache Beam.

創建者 Jonathan A

2018年8月27日

The concepts were taught well. However, a lot of code and cloud interaction was involved, making the labs a key piece of the material. Two of the labs didn't work because the Google lectures aren't up-to-date with the Google APIs. Although Coursera response to the bad labs was prompt, the Google team did not respond.

創建者 irfan s p

2020年4月10日

maybe this course is very good, but for me I really hard to digest knowledge from this course. It needs a lot of time to understand the theory. Maybe it will be good if the course is given in more videos and slower pace. Thank you

創建者 Alejandro O

2019年1月15日

More hands on activities is the common theme on all classes, its a lot of talking and not a lot of putting things together, follow the University of Michigan Python curriculum, that one is great for hands on learning.