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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
1,615 個評分
177 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....

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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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101 - 特色工程 的 125 個評論(共 177 個)

創建者 Evren G

2018年11月3日

As ever excellent course content, the major let down and loss of star is because of the labs. There are no graded lab exercises where you have to think about and apply your theoretical learnings. Instead you get python notebooks that have completely prepopulated code. So the only thing you need to do is run the cells. A missed opportunity for excellent learning.

創建者 Michal K

2018年8月19日

In general, this course is very well prepared, covers a good piece of material and I'm leaving it with a lot of new things to try. One thing I would correct in the future: more coding. Don't get me wrong, labs are quite good in terms of examples quality, but since everything is already there, it is difficult to "learn by doing".

創建者 Sanket N

2020年4月24日

Course is explain feature engineering in such a way that is it is to understand what is purpose of it and also how to use it. Very good course.

One issue I found that, big query in second last model is not working. I have to search and fix issue in big query to run it. It is kind of distracting from main objective of Lab

Thanks

創建者 Francois R

2019年4月17日

Very interesting theory, shows the power of Tensorflow in the field. I had trouble with the last lab though, which when I ran it step by step, would block my qwiklab account because of resource limitations...

創建者 Joe L

2018年11月12日

Great topics, the instructions are great. The only suggestion is cut down the number of different videos. just combine them together. 15 3 mins is not a great experience vs 3 15 min videos.

創建者 Timothy L

2018年8月21日

Some of the labs had big query errors, and some of the google cloud interfaces changed, so careful when doing the labs, the options and the buttons may have been shifted or renamed

創建者 Mahendra S C

2019年11月24日

Its a graet course team me one of the most important took "Apache Beam" I defiantly use this in my upcoming projects. I only give 4 star because of poor teaching by "Carl Osipov"

創建者 alireza s

2020年1月6日

The part about tensorflow transform in the end is super rushed and not that clear, other than that the course is well made and clear in its instructions and very recommended!

創建者 Daniel M

2020年1月24日

Difficulty scaled dramatically in this course compared to the previous ones. I would have liked a slower introduction to apache beam and more information about tf.transform

創建者 GAURAV B

2020年2月14日

It had a great coverage of the different options available, however, I would prefer a bit more detailed coverage and hand-on should be from easy to tough.

創建者 Kevin C

2018年8月26日

In contrast to other courses in this specialization, this course had some meat in it and was more than just a thinly disguised ad for Google Services.

創建者 Michael S

2020年4月30日

The course was very informative, but I think that there are opportunities for the student to have to figure out how to do more portions of the labs.

創建者 Maheboob P

2019年4月21日

faced multiple issues

a)Qwiklab wasnt allowing to login with error that said "account is locked"

b) labs were not as interesting as others

創建者 Wang Y

2018年10月7日

Nicely explained concepts with real world examples! Could have explain more about the code and the meaning behind some of the qwiklabs.

創建者 ChangYong J

2020年1月27日

Good to learn the Feature Engineering. Tried all of Graded External Tool using Cloud Shell because AI Platform Notebooks doesn't work.

創建者 Harm t M

2019年3月13日

This was hard. Not directly applicable to where I am in my machine learning career, but good to know in the future, nonetheless...

創建者 Keith H

2019年9月1日

Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.

創建者 Gregory R G J

2019年1月30日

Thumbs sideways.

I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.

創建者 Zezhou J

2018年11月9日

The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.

創建者 Frederik C

2019年11月18日

Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow

創建者 Roberto T

2020年1月11日

starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing

創建者 Vamsi K B

2020年3月11日

This course gives an ample understanding on the significance of Features and Data in Machine learning.

創建者 Attila B

2018年12月8日

Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.

創建者 RIJO R

2020年9月8日

Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.

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.