Issue #228
December 21, 2023
Welcome to the Dec 227th edition of the Data Science Briefing!
We’re currently on hiatus from blogging, but you can catch up on the latest post in the Viz4Sci series: The effects of vaccination, where we reproduce one of the most famous WSJ visualizations. The latest Medium post, “Top 10 Books we read in 2022”, and the most recent post on the G4Sci series: Network Attacks: Breaking up a Network without Observing it Completely.
Our regularly scheduled content explores The Surprising Behavior of Data in Higher Dimensions, What Happens When AI Takes Over Science and The True Nature of Logarithms.
On the academic front, we learn about the Statistical mechanics of inference in epidemic spreading, the Thermodynamics of Information, and how Recommender systems may enhance the discovery of novelties.
This week’s book is “Computing the Climate” by Steve M. Easterbrook. You can find all the previous book recommendations on our website. In the video of the week, we have a talk by Bjarne Stroustrup on The Journey of C++ & Its Impact in Programming
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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. The Surprising Behavior of Data in Higher Dimensions [towardsdatascience.com]
- 2. What Happens When AI Takes Over Science? [theatlantic.com]
- 3. Causal Trees [farley.ai]
- 4. Advancements in machine learning for machine learning [blog.research.google]
- 5. Database Fundamentals [tontinton.com]
- 6. The True Nature of Logarithms [cantorsparadise.com]
- 7. Streamlining Membership Data Engineering at Netflix with Psyberg [netflixtechblog.com]
Bjarne Stroustrup: The Journey of C++ & Its Impact in Programming
All our videos are also available in our
YouTube playlist.
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