Deep Dives

TLDR in healthcare often output binary decisions comparable to disease or no disease, which by themselves cannot produce a meaningful AUC. AUC remains to be the usual technique to compare risk and detection models in...

, Databricks has shaken the information market once more. The corporate launched its free edition of the Databricks platform It's an incredible resource for learning and testing, to say the least. With that in mind,...

of my Machine Learning Advent Calendar. Before closing this series, I would really like to sincerely thank everyone who followed it, shared feedback, and supported it, specifically the Towards Data Science team. Ending this calendar...

Have you ever ever played a co-operative game or sport? Let’s consider one other example, but this time within the skilled world. Let’s say you're a part of a company whose primary technique of...

all of us do naturally and often. In our personal lives, we regularly keep to-do lists to organise holidays, errands, and all the things in between.  At work, we depend on task trackers and...

, we ensemble learning with voting, bagging and Random Forest. Voting itself is simply an aggregation mechanism. It doesn't create diversity, but combines predictions from already different models.Bagging, however, explicitly creates diversity by training...

a few failure that was something interesting. For months, I — together with a whole lot of others — have tried to construct a neural network that might learn to detect when AI systems...

of Contents 📄Python Notebook🍯Introduction🔍Example ABC Agent Search Progress⏳Agent Lifecycle in Swarm Optimization🐝The three Bee Agent Roles🪻Iris Dataset❄ Clustering – No labels? No problem!🏋️Fitness Model for Clustering🤔Confusion Matrix as a Diagnostic Tool🏃Running the Agentic AI...