Coursera Project Network による Essential Causal Inference Techniques for Data Science の受講者のレビューおよびフィードバック
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人気のレビュー
Essential Causal Inference Techniques for Data Science： 1 - 6 / 6 レビュー
by Tom B
•2021年4月16日
it's a neat format, but there's not a huge amount of material in the course, unless you can keep the code. A lot of these models would be better as glms not linear models, but that isn't really discussed. it would also be useful to see more on the causal forest, which is the area which interested me in particular
by Keerat K G
•2021年1月31日
Decent start to Causal Inference Techniques with sufficient theory for a project.
by Chiara L
•2022年3月10日
For someone who's unfamiliar with R and causal inference, this helped a lot with familiarizing but it's too short to go fully in-depth. Would like to have discussed more practical ways to apply these methods to machine learning and when-to-use-which technique
by Sasmito Y H
•2022年9月19日
Delivering the promised essential with adequate value.
by Nersu A
•2022年8月19日
no reading material and can't revise the concepts
by seyed r m
•2022年2月3日
Good match between lecture/example and tests. It would be better if there were more real world examples and the course included use of applying Causal Inference to time-series data.
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