Season 1 Episode 8: When Machines Learn from Patterns Clustering and Segmentation Explained

In Episode 8, we explore how machines discover hidden patterns without labels.

From customer segmentation to market basket analysis, we break down clustering and association rules using simple geometric intuition and real-world business examples.

Learn how unsupervised learning helps organizations understand structure before they attempt to predict the future.

Held on: 2026-02-11 09:20 UTC

Season 1 Episode 7 Meet the Algorithms Models That Shape the World

If you’re curious about how some of the most widely used machine learning models work under the hood, in a simple, non-technical way, this episode is for you. We explore Decision Trees, Regression models, Naive Bayes, and K-Nearest Neighbors, and explain how they operate through intuitive, real-world examples.

Held on: 2026-01-27 05:00 UTC

Season 1 Episode 6 The Machine Learning Family Tree

How does a machine actually learn from data?

In this episode of the Data Tribes Podcast, we break down the machine learning family tree and explain how different learning styles emerge depending on the data and feedback available.

A clear, intuitive guide to supervised, unsupervised, and reinforcement learning, designed for curious minds, not technical manuals.

Held on: 2026-01-14 02:41 UTC