July 4, 2021

Dear friends,
Welcome to the 118th issue of the Sunday Briefing.

This week we have a new post in the V4Sci substack: Candlestick Chart: Visualizing Stock prices with Matploltib where we explore a centenarian visualization for pricing information. You can also catch up on : How to model the effects of vaccination, the latest post on the Epidemiology series that is now available in medium and you can find the respective code in the Epidemiology GitHub repo. While over at G4Sci you can now read The Watts-Strogatz Model and the Small World Effect, the second post of the series were we explore simple theoretical models of networks.

Tomorrow we have our webinar on Causal Inference: Why and What If – Causal Analysis for Everyone. There’s still a few spots left so Register now and make sure you don’t miss it!

This week we have an overview of what language models have learned, B-Trees, Quantile Regression and on When Correlation is Better than Causation.

From the halls of academia we consider Text Data Augmentation for Deep Learning, the Dynamics of majority rule on hypergraphs and Program Synthesis with Large Language Models.

Finally, this weeks ‘Data Science Book ’ highlight is the “Feynman’s Lectures on Computation” by R. P. Feynman. As always you can find all the previous book recommendations on our website. In the video of the week we have a vide on the 7 Reasons Most Machine Learning Funds Fail.

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Semper discentes,

The D4S Team