Dear friends,
Welcome to the 132nd issue of the Sunday Briefing.
As promised, this week we have two new posts fresh off the presses. In the Visualization for Science substack you’ll find: Pyramid Plot: Comparing two values across a common category where we reproduce a recent ECDC visualization while in the Graphs for Science substack we just published: Markov Chains and PageRank: Quantifying node importance where we explore PageRank one of the worlds most profitable algorithms.
We’re also proud to announce a brand new webinar series: A Data Driven Approach to Understanding COVID-19 with NetworkX coming up on Jan 18, 2022. If you register in the next 10 days you get a 30% discount!
We’ve also just completed recording and editing two new long form on-demand videos. Many of you have already checked them out (Thank you!), but for those who didn’t here’s a quick summary:
1. Natural Language Processing, has almost five and a half hours of new NLP content using NLTK and Keras that will bring you up to speed on state of the art NLP techniques and approaches.
2. Times Series Analysis for Everyone, is six hours of videos covering data pre-processing, visualization, ARIMA, ARCH and Deep Learning models for Time series analysis.
On our regularly scheduled content we have a tutorial on Text Classification with BERT in PyTorch, a discussions on how Web3 is Bullshit and on Understanding Zero-knowledge proofs through illustrated examples.
From the Ivory Tower we have a look at the Anatomy of the first six months of COVID-19 Vaccination Campaign in Italy, the Effect of time-dependent infectiousness on epidemic dynamics and Explainable AI for Science Discovery From Kepler to Newton.
Finally, this weeks ‘Data Science Book ’ highlight is Data Science Book is “Google BigQuery: The Definitive Guide” by V. Lakshmanan and J. Tigani. As always you can find all the previous book recommendations on our website. In the video of the week we have a tutorial on How to use python type hinting.
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Semper discentes,
The D4S Team
This weeks Data Science Book is " Google BigQuery: The Definitive Guide " by V. Lakshmanan and J. Tigani. Google BigQuery is google's SQL based data warehousing and analysis solution that you can easily use in your own projects. Written by one of the early designers of BQ, this books provides a clear and in depth view of how to make the most out of this powerful system that is able to process terabytes of data in just a few seconds. The authors introduce each concept in a intuitive and didactic way, using simple examples that leverage public datasets you can easily run on your own. Overall an excellent first introduction and regular reference to one of the best data analysis systems available today.
