Issue #236
February 28, 2024
Welcome to the 236th edition of the Data Science Briefing!
This week, we’re proud to announce the latest post on Graphs for Data Science substack: k-core Decomposition. As always, you can find all the relevant code and links to previous posts in the G4Sci GitHub repository.
You can also catch up on the latest in the Epidemic Modeling series: Epidemiology 302: The Impact of Age Structure on Epidemic Spreading. and the Viz4Sci series, The Effects of vaccination.
In our regularly scheduled content, we go From OpenAI to Open LLMs with Messages API on Hugging Face, explore Generative Models: What do they know, and learn about Stable Diffusion 3 and Web Scraping in Python
On the academic front, we learn why Every Model Learned by Gradient Descent Is Approximately a Kernel Machine, explore how to chart mobility patterns in the scientific knowledge landscape, the Cryptocurrency co-investment network, and Complex networks with complex weights.
This week’s book is “Computing the Climate” by Steve M. Easterbrook. You can find all the previous book recommendations on our website. In this week’s video, we have a tutorial on the Trillion Dollar Equation.
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Semper discentes,
The D4S Team
This week's book is "Computing the Climate" by Steve M. Easterbrook, a captivating journey into the synergy of climate science and computing, making it a must-read for anyone intrigued by the intersection of these fields. Easterbrook's engaging writing style effortlessly demystifies complex concepts, ensuring accessibility for readers with diverse backgrounds. The book's strength lies in its seamless blend of theoretical discussions with real-world examples, showcasing the instrumental role of computing in unraveling the intricacies of climate dynamics.
Easterbrook's balanced perspective sets this book apart, acknowledging the uncertainties in climate science while underscoring the transformative impact of technological advancements. By delving into interdisciplinary connections with policy, economics, and environmental science, Easterbrook provides a holistic understanding of the challenges associated with climate change. This comprehensive approach educates and empowers readers to recognize the pivotal role of computational progress in shaping our collective response to climate-related issues.
In essence, "Computing the Climate" stands as a persuasive testament to the indispensable role of computing in climate research. Easterbrook's skillful narrative not only informs but also inspires readers to grasp the significance of technological innovation in confronting the pressing challenges of our changing climate. This book is an essential addition to the literature, urging readers to actively engage in the ongoing dialogue surrounding the future of our planet.
- 1. From OpenAI to Open LLMs with Messages API on Hugging Face [huggingface.co/blog]
- 2. Introduction to Geometry [cantorsparadise.com]
- 3. Explainable AI using expressive Boolean formulas [aws.amazon.com/blogs]
- 4. Generative Models: What do they know? [Do they know things? Let's find out!]
- 5. Stable Diffusion 3 [stability.ai]
- 6. Bloom Filters [samwho.dev]
- 7. Web Scraping in Python - The Complete Guide [proxiesapi.com]
- • Charting mobility patterns in the scientific knowledge landscape (C. K. Singh, L. Tupikina, F. Lécuyer, M. Starnini, M. Santolini)
- • Cryptocurrency co-investment network: token returns reflect investment patterns (L. Mungo, S. Bartolucci, L. Alessandretti)
- • Complex networks with complex weights (L. Böttcher and M. A. Porter)
- • Representation Learning for Frequent Subgraph Mining (R. Ying, T. Fu, A. Wang, J. You, Y. Wang, J. Leskovec)
- • Human-machine social systems (M. Tsvetkova, T. Yasseri, N. Pescetelli, T. Werner)
- • Artificial Intelligence for Complex Network: Potential, Methodology and Application (J. Ding, C. Liu, Y. Zheng, Y. Zhang, Z. Yu, R. Li, H. Chen, J. Piao, H. Wang, J. Liu, Y. Li)
- • Every Model Learned by Gradient Descent Is Approximately a Kernel Machine (P. Domingos)
The Trillion Dollar Equation
All our videos are also available in our
YouTube playlist.
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