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Document worth reading: “Generative Adversarial Networks: A Survey and Taxonomy”

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…

Analytics

Four short links: 6 January 2020

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…

Analytics

Weekly Digest, January 6

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…

Analytics

Connections between Neural Networks and Pure Mathematics

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…

Analytics

Data Science insights after a rookie year in the industry

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…

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Document worth reading: “High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality”

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…

Analytics

Traveling to Other Planets with Google Maps

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…

Analytics

Setting the Cutoff Criterion for Probabilistic Models

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…

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Document worth reading: “Machine Learning Methods Economists Should Know About”

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…

Analytics

Timelines to make you feel old

One of the best ways to feel old is to look to your past and realize how long ago it was. Wait Buy Why demonstrates with a bunch of timeline…