Casual Causal Inference

Part III: Where causal inference stands in the current AI, Big Data, Data Science, Statistics, and Machine Learning scene?

This is the third part of the post “What to expect from a causal inference business project: an executive’s guide”. You will find the second one here.

Most of these words have fuzzy meaning, at least at a popular level. …

Casual Causal Inference

Part II: Which are the project key points you need to know

This is the second part of the post “What to expect from a causal inference business project: an executive’s guide”. You will find the third part here.

Causal Modeling

Casual inference models how variables affect each other. Based on this information, uses some calculation tools to answer questions like what would have…

Casual Causal Inference

Part I: When do you need casual inference?

This is the fifth post on a series about causal inference and data science. The previous one was “Solving Simpson’s Paradox”. You will find the second part of this post here.

Causal inference is a new language to model causality to help understand better causes and impacts so that we…

Aleix Ruiz de Villa

Phd in mathematics and data scientist. Freelance consultant.

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