Evaluation Metrics

ML Clustering: A Simple Guide

Clustering is an unsupervised ML that aims to categorize a set of objects into groups based on similarity. The core […]

Anomaly detection, also known as outlier detection, aims at identifying instances that deviate significantly from the norm within a dataset.

Time series forecasting is a statistical technique used to predict future values based on previously observed values, specifically in a

Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on individual words or subword tokens,

Evaluating a large language model is a bit like hiring a very articulate analyst. A polished answer can still be

Evaluating the effectiveness of a prompt is crucial to harnessing the full potential of Large Language Models (LLMs). An effective

1. Why Machine Learning Feels Different From Traditional Programming Imagine that you want to build an email spam filter. In