The Myth of Cloud Resilience in the Age of Intelligence – SPONSOR CONTENT FROM RELTIO
Sponsor content from Reltio.
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The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data. The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.
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How to Develop AI-Powered Solutions, Accelerated by AI
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
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The Rational Bull Elk
I watch a lot of nature documentaries. I’m not very choosy about the animals covered, whether whales, moles, lions, ants, chameleons, blowfish, or mosquitoes. I’m even fascinated by footage of bacteria under a microscope. I’m usually immersed as I sit in front of my large-screen television, so long as I learn something about the intricacies of the species filmed in vibrant colors. What do they eat and how do they avoid being eaten? What are their life expectancies, […]
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OpenAI’s new GPT-5.2 model takes on Google’s Gemini 3
As expected and following multiple reports, OpenAI officially announced the GPT-5.2 model. For those unaware, it’s a product that the company fast-tracked out of the heat it’s facing from the success of the latest models from Google and Anthropic. Not to forget, the GPT-5.2 is OpenAI’s second biggest update since the company officially launched GPT-5 in August. GPT-5.2 is here with improved raw performance results In the announcement, OpenAI describes GPT-5.2 as its “most capable model series yet […]
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A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a probabilistic model that captures both global patterns and group-level variations. Through each snippet, we set up inference using NUTS, analyze posterior distributions, and perform posterior predictive checks to understand how well our model captures the underlying structure. By approaching the tutorial step by step, we build an intuitive […]
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The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
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Nvidia is reportedly testing tracking software as chip-smuggling rumors swirl
A new software option could make it possible to see the approximate location of some of Nvidia’s AI chips.
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Engineering more resilient crops for a warming climate
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
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