February 12, 2023

Dear friends,
Welcome to the Feb 12th edition of the Sunday Briefing. We’re on hiatus from blogging, but you’re welcome to catch up on our latest Medium post “Top 10 Books we read in 2022”, the latest post on the G4Sci series: Network Attacks: Breaking up a network without observing it completely or the latest Viz4Sci in the series: Photo Color Scheme.

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This week we’re proud to announce a brand new webinar series : Interactive Data Visualization with Python where we explore different ways in which we can build visualizations that we can interact with to better explore our data. Register now so you don’t miss out!

On our regularly scheduled content we explore a Transformative Reading List for Understanding Large Language Models, learn How to Train Really Large Models on Many GPUs and dive into the Top 10 machine learning algorithms in Finance.

On the academic front we learn about Zero-shot causal learning, networks in social systems from a mathematical modeling perspective and gain some insights into the accuracy of social scientists’ forecasts of societal change.

This week’s Data Science Book is “Practical Linear Algebra for Data Science” by M. X. Cohen. As always you can find all the previous book recommendations on our website. In the video of the week, we have “Zero-Shot Learning”

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Semper discentes,

The D4S Team