Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably the revolutionary techniques are in the area of computer vision such as plausible image generation, image…
An Excess of Operating Systems (Jean-Louis Gassée) — Fuschia exists for technical reasons, but Samsung’s, Amazon’s, Huawei’s, etc., are all for business reasons (not wanting to tithe or be tied…
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…
Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are examples of AI-based applications that…
Countless hours of online courses haven’t prepared me for challenges in my first full-time position as a data scientist. Yes, I learned Python well enough to land the job, but…
In this article, we investigate a family of classification algorithms defined by the principle of empirical risk minimization, in the high dimensional regime where the feature dimension $p$ and data…
Interesting application leveraging very big data, as you can zoom in to check out pretty detailed landscape on a few nearby planets and satellites. It would be even better if…
The human perception tends to arrange probabilities into above 50% and below. For most probabilistic models this is not the case at all. Frequently, resulting probabilities are neither normal distributed…
We discuss the relevance of the recent Machine Learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods and settings between the ML literature and…