Chevron Left
返回到 特色工程

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.

篩選依據:

151 - 特色工程 的 175 個評論(共 179 個)

創建者 Srinivasan D

2020年8月16日

Many installations on the pylab notebooks are broken. There are version conflicts all the time. Even if I run the notebook with no changes of my own, several errors appear. This wastes a lot of time.

創建者 willy k

2020年8月19日

some issues on some labs due to OAuth compatibility ...

see

ERROR: witwidget 1.5.1 has requirement oauth2client>=4.1.3, but you'll have oauth2client 3.0.0 which is incompatible.

創建者 Leszek Ś

2018年8月13日

Please update instructions. UI has been changed.

Some code doesn't execute. Last lab. Should be updated. This can be just one sentence (simply, versions of packages don't fit).

創建者 Dimitry I

2019年11月12日

This wasn't a bad course, but it is more geared towards showcasing GCP features (BigQuery, Dataflow, Apache Beam, etc.) rather than teaching feature engineering.

創建者 Franco G

2020年1月5日

The course focuses much more on the gcp tools rather than the feature engineering, labs were not easy to follow, some pieces of code did not work properly.

創建者 Alouini M Y

2018年9月16日

A good course overall. However, the last two labs didn't run since packages couldn't be installed. Please update these labs. :)

創建者 Yuan L

2021年4月17日

Some lab notebooks need to be updated. Especially for week 4, some setup steps are missing. Otherwise, good content.

創建者 Sandip K M

2019年11月26日

Some of the Labs do not work and the information provided are not enough to debug the issue.

創建者 Arturo M

2018年11月20日

Too long for one week. I would suggest to split it in two or even three weeks

創建者 Carlos B

2018年12月20日

The work needed was waaaaay below a one week

創建者 Matthew S

2018年8月5日

Some missing steps in lab descriptions

創建者 Xinyue Z

2018年9月14日

Some labs don't work

創建者 Cooper C

2020年1月16日

I feel that this, and the tensor flow course that proceeds it in the specialization, were a waste of my time. My feeling is that this entire specialization is a glorified demonstration of what GCP can do with ML. The labs are not interactive and in some cases did not work. I don't feel that I have learned anything new. If I were to use GCP for ML purposes, I would need additional training to do it. I don't recommend this specialization.

創建者 Alex H

2019年10月21日

Great instructor but (1) the coding challenges are buggy and don't really teach you anything and (2) a lot of the material in this course is tedious for someone with professional training in AI but no experience with GCP

創建者 Tulio R C

2020年5月10日

The content is dense but taught superficially. The answers are given away and students have no time to explore the content. The lectures should be broken down into more weeks so that students can absorb the information.

創建者 A A

2019年11月7日

the lectures are good, can be boring. The course would have been more interesting if it had thought-out assignments instead of demo-code to just run as labs

創建者 Thibault D

2019年9月14日

The gap between the lecture and the coding is too big. The coding sessions need to be more interactive to be useful.

創建者 Marko H

2019年4月6日

Basically this course would receive four stars, but repeated problems with qwiklabs had a severe impact on my overall experience. I got thrown out three times in a row (and my account locked) during dataflow lab.

Every time I had to request unlockin of my account, which took half a day every time. When requesting advice to avoid this error, I got offered the general and vague explanation that I "should only use the resources required by the lab". I am 100% sure that I didn't use any extra resources, including zones and regions.

The Coursera's helpdesk went behind the excuse that Qwiklabs is a third-party service. That may be the case, but since Qwiklabs has been integrated into the Courseras' course, the ultimate responsibility lies with Coursera.

I hope that Coursera will co-operate with Qwiklabs to sort out this very annoying problem.

創建者 Nathan K

2018年10月29日

Ultimately I found this course to be disappointing, because the Google APIs for DataFlow, BigQuery, etc. are unusable with the provided QuickLabs account. When you try to activate any API during the labs, it asks you for a location. It is a required field that says: "You must select a parent organization or folder." Clicking this option reveals a single organization called "no organization," which is not a legitimate choice. APIs cannot be activated and then cannot be used in the lab.

Because of this I was unable to actually do many of the labs that required the use of the Google APIs including the keystone lab "Improve ML model with Feature Engineering" where the taxi-fare prediction model is refined into a perfected state.

I'm upset that I paid money for this.

創建者 Phillip

2020年8月15日

The last three sections of this course are very difficult. I think the material needs to simplified, less prepositions, to much explanation not enough demonstration, use a thousand words to explain straight forward concepts makes the last part of this course impossible. If any one completes this section with a clear understanding of it's fundamentals, I wish they'd give me a call - frustration - aargh!

創建者 Siew W O

2020年6月20日

This module is interesting but unfortunately it is also plagued with problems. Two key issues that hopefully can be looked into. Firstly, there could be better explanation on Apache Beam. Secondly, I can't run quite a number Qwiklabs because modules not found or some simple import commands are missing

創建者 john f d

2018年7月18日

Labs vms are to slow. Speaker is difficult to understand. Mic varies and speech pattern is not clear. The presentations need some graphics rather than a guy talking. Sketch out the ideas on a white board rather than talking 5 minutes to a single slide.

創建者 Muhammad M M

2020年12月23日

The course needs to be cleaned up. Quizzes have typos/unclear questions; labs ask for too much or not enough; there are lab intro and solution videos for labs that don't exist. Forums seem to be inactive as well.

創建者 ni_tempe

2019年10月7日

this is useless...google is advertising their product and making us pay for it. They should learn dr Andrew Ng and create courses which teach us without using a specific platform.

創建者 Arman A

2019年4月11日

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.