學生對 Coursera Project Network 提供的 Essential Causal Inference Techniques for Data Science 的評價和反饋
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1 - Essential Causal Inference Techniques for Data Science 的 4 個評論（共 4 個）
創建者 Keerat K G
•2021年1月31日
Decent start to Causal Inference Techniques with sufficient theory for a project.
創建者 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
創建者 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
創建者 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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