AIWS University

How to Think Like an Epidemiologist

The original article can be found here.   How to Think Like an Epidemiologist Don’t worry, a little Bayesian analysis won’t hurt you. By Siobhan Roberts   There is a statistician’s rejoinder — sometimes offered as wry criticism,...

Probabilistic Programming and Bayesian Inference for Time Series Analysis and Forecasting in Python

The original article can be found here at Towards Data Science Probabilistic Programming and Bayesian Inference for Time Series Analysis and Forecasting in Python: A Bayesian Method for Time Series Data Analysis and Forecasting in Python – by Yuefeng...

Radical Empiricism and Machine Learning Research

A speaker at a lecture that I have attended recently summarized the philosophy of machine learning this way: “All knowledge comes from observed data, some from direct sensory experience and some from indirect experience, transmitted to us either culturally...

AI’s struggle to reach “understanding” and “meaning”

Deep learning is very good at ferreting out correlations between tons of data points, but when it comes to digging deeper into the data and forming abstractions and concepts, they barely scratch the surface (even that might be an overstatement). We have...

Data versus Science: Contesting the Soul of Data-Science

SummaryThe post below is written for the upcoming Spanish translation of The Book of Why, which was announced today. It expresses my firm belief that the current data-fitting direction taken by “Data Science” is temporary (read my lips!), that the...

Race, COVID Mortality, and Simpson’s Paradox (by Dana Mackenzie)

Summary This post reports on the presence of Simpson’s paradox in the latest CDC data on coronavirus. At first glance, the data may seem to support the notion that coronavirus is especially dangerous to white, non-Hispanic people. However, when we take...

Study finds strong evidence for a causal link between long-term exposure to fine air particles and greater mortality in elderly Americans

A new analysis of 16 years of publicly accessible health data on 68.5 million Medicare enrollees provides broad evidence that long-term exposure to fine particles in the air – even at levels below current EPA standards – leads to increased...

Artificial intelligence: The dark matter of computer vision

What makes us humans so good at making sense of visual data? That’s a question that has preoccupied artificial intelligence and computer vision scientists for decades. Efforts at reproducing the capabilities of human vision have so far yielded results...

AI Needs More Why

The father of Bayesian networks and probabilistic reasoning, Judea Pearl, published his Book of WHY: The New Science of Cause and Effect last year to suggest that the future of AI depends on building systems with notions of causality. It may seem obvious...