Agent-Based Modeling and Geographical Information Systems: A Practical Primer (GeoSpatial Analytics and GIS) https://amzn.to/3b26CK9 #DataScience #AI #ComputationalScience #SocialScience #NetworkScience #SpatialAnalysis #Simulation
AI
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ABM Agent-Based Modeling Explained with Resources
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ABM (Agent-Based Modeling) explained: https://
informs-sim.org/wsc09papers/00
9.pdf
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And see this additional explanation (source for the attached graphic): https://
bankofengland.co.uk/quarterly-bull
etin/2016/q4/agent-based-models-understanding-the-economy-from-the-bottom-up
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Anthropic’s Auto Mode for Claude Code CLI
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Anthropic released Auto Mode for Claude Code CLI, which allows Claude to make its own decisions on which permissions to accept. It is only available on the Team plan in research preview for now. On the desktop app, it is not yet available, but it is in the works.
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Using Mathematics to Make Money: Financial Applications
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[PDF] Using Mathematics to Make Money Download at https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=4668072
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Securing Python Packages: Auditing Source Code to Prevent Supply Chain Attacks
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I think the same thing happened with the ctx package a few years back (also through PyPI). Not perfect, but I think the best way to avoid is to: 1. Download a source code snapshot of the package (e.g., from github) 2. Audit it (traditionally manually, but now also LLM
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Graph Neural Networks: Essential Guide for Machine Learning Engineers
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Introduction to Graph Neural Networks — A Starting Point for Machine Learning Engineers: http://
arxiv.org/abs/2412.19419 [49-page PDF] #AI #ML #DeepLearning #DataScience #DataScientist -

Trump’s Stance on Iran’s Enriched Uranium Amid U.S. Negotiations
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[PDF] Towards an AI-Augmented Textbook: http://
arxiv.org/abs/2509.13348 -

Free PDF Guide to Probability and Statistics for Data Science
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Probability and Statistics — The Science of Uncertainty (2nd Edition): https://
utstat.toronto.edu/mikevans/jeffr
osenthal/
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(Download 774-page PDF)
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#DataScience #DataScientist #MachineLearning #ML #AI #Analytics -
Token Count Loyalty: Fairness in Prompt Length Standards
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256 tokens is basically 256 words, that's pretty long! not sure it's fair to say only people who put more than 256 words into a single prompt are loyal or creative
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Understanding AI Tokens: Technical Definition and Character Limits
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Oh! 256 "Tokens" is a technical term that might be confusing people, in AI a "Token" is basically a full word, so this is like saying "the limit is 256 words" but then a word is say maybe 5 characters on avg so that would mean 1300 characters
