Chevron Left
特徴エンジニアリング に戻る

Google Cloud による 特徴エンジニアリング の受講者のレビューおよびフィードバック

4.5
1,702件の評価

コースについて

Want to know about Vertex AI Feature Store? 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 discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow....

人気のレビュー

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.

フィルター:

特徴エンジニアリング: 126 - 150 / 190 レビュー

by 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.

by 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.

by 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.

by 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

by 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

by 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.

by 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.

by 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.

by 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.

by Sandeep K

2018年7月29日

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

by Srichakradhar R N

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

by borja v

2019年6月21日

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

by Jiong S W

2022年4月15日

Good guidance more detailed explanations then it would be perfect.

by ThemisZ

2020年2月4日

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

by Alexander Z

2018年12月29日

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

by Marcos H

2018年11月8日

Very practical and Lak is a great teacher and communicator!

by Fernandes M R

2020年5月15日

Maybe a little more example of how deal with features.

by Malithi N

2020年5月25日

This course explains theories nicely with labs

by Joel M

2018年12月6日

good clear instructions, and valuable content.

by Anupam P

2019年8月26日

Comprehensive yet precise and clear.

by Rohit K A

2018年12月24日

No course material for reference

by Michael C

2020年11月29日

Very important information here

by Rahul K

2019年5月5日

Lovely Course. Thanks Google

by Eran T

2022年3月20日

Focuses mostly on DNN

by Ripunjoy G

2019年11月21日

Labs have problems