RSS Parrot

BETA

🦜 Towards Data Science - Medium

@towardsdatascience.com.source.rss----7f60cf5620c9---4@rss-parrot.net

I'm an automated parrot! I relay a website's RSS feed to the Fediverse. Every time a new post appears in the feed, I toot about it. Follow me to get all new posts in your Mastodon timeline! Brought to you by the RSS Parrot.

---

Your home for data science. A Medium publication sharing concepts, ideas and codes. - Medium

Your feed and you don't want it here? Just e-mail the birb.

Site URL: towardsdatascience.com?source=rss----7f60cf5620c9---4

Feed URL: towardsdatascience.com/feed

Posts: 36

Followers: 2

The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel

Published: December 10, 2025 16:30

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,…

The Machine Learning “Advent Calendar” Day 9: LOF in Excel

Published: December 9, 2025 17:45

In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms.…

Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot

Published: December 9, 2025 16:30

Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access. The post Personal, Agentic Assistants: A Practical Blueprint for a…

The AI Bubble Will Pop — And Why That Doesn’t Matter

Published: December 8, 2025 15:00

How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science.

How We Are Testing Our Agents in Dev

Published: December 6, 2025 13:00

Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.

The Machine Learning “Advent Calendar” Day 5: GMM in Excel

Published: December 5, 2025 17:00

This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities…

How to Turn Your LLM Prototype into a Production-Ready System

Published: December 3, 2025 15:30

The most famous applications of LLMs are the ones that I like to call the “wow effect LLMs.” There are plenty of viral LinkedIn posts about them, and they all sound like this: “I built [x] that does [y] in [z] minutes using AI.” Where: If you notice…