What is Logistic Regression and How Does It Work?

Welcome to the AI Concepts Podcast, where your host Shay delves into the intricacies of artificial intelligence, one concept at a time. This episode focuses on logistic regression, a supervised learning algorithm used to convert raw data into clear probabilities for binary classification tasks.

Using a relatable example of a hospital application designed to determine the nature of a tumor, Shay explains how logistic regression works step by step. The episode covers the algorithm’s ability to interpret data, assign importance to features, and transform these insights into probabilities, helping in decision-making processes such as tumor diagnosis and fraud detection.

Listeners will gain a clear understanding of when and how to use logistic regression, its limitations, and how it learns from historical data to classify outcomes accurately. By the end of the episode, you'll appreciate the simplicity and utility of logistic regression in deriving trustworthy binary answers from complex datasets.