Causal

CAUSAL INFERENCEWhat is Causal Inference? Learn how you can know what works and use it effectively to optimize business processes. A user-friendly guide to Causal Inference!Photo by Maurício Mascaro: https://www.pexels.com/photo/person-holding-magnifying-glass-712786/Almost every one of you must have studied in your school the favorite mantra of statistical correlation, which was “correlation doesn’t imply causation”. Just because there is a high correlation between two phenomena, it doesn’t mean that there is causal…

Photo by Laura Ockel on UnsplashFind out when correlation actually means causationFirst of all, why should we bother studying causation? Isn’t correlation enough for making predictions? Hasn’t machine learning made the study of causation pointless? Well, not really.Many times, we are interested in a relationship of this kind: “if I do X, then Y will happen”, which is not the same as “if X happens, then Y will happen”. The difference is that in the first case, we’re actually forcing X to happen, while in the second case, X…

Learn cause and effect analysis with these packagesPhoto by fabio on UnsplashCausal Analysis is a field within experimental statistics to prove and establish the cause and effect relationship. In statistics, using statistical algorithms to infer causality within the dataset under the strict assumption is called Exploratory causal analysis (ECA).ECA, in turn, is a way to prove causation with more controllable experimentations and not only based on the correlation. We often need to prove the Counterfactual — A different…

Understand how Causal AI frameworks and algorithms support decision making tasks like estimating the impact of interventions, counterfactual reasoning and repurposing previously gained knowledge on other domains.Source: https://pixabay.com/illustrations/ai-artificial-intelligence-sci-fi-7111802/AI and Machine Learning solutions have made rapid strides in the last decade and they are being increasingly relied upon to generate predictions based on historical data. However they fall short of expectations when it comes to…

As air pollution decreases in the western Northern Hemisphere, several new climate simulations suggest tropical cyclones in the Atlantic may increase. The forecast is troubling, though not necessarily a surprise.  When tiny aerosols like dust, soot, and sulfates are airborne, they create smog that can dim sunlight and cool Earth's atmosphere and surface.Broadly speaking, that's opposite to the impact of greenhouse gasses, which trap energy from the Sun in our atmosphere and warm our planet. Given the competing tug-of-war…