Understanding Machine Learning Models

Understanding Machine Learning Models

Understanding Machine Learning Models 1. What Are Models? Definition: A machine learning model is an algorithm that takes input data and produces output, making predictions or decisions based on that data. It learns patterns and relationships within the data during...
Decision Trees and Naive Bayes Classifiers

Decision Trees and Naive Bayes Classifiers

Decision Trees and Naive Bayes Classifiers Decision Trees Overview: Decision trees are a type of supervised learning algorithm used for classification and regression tasks. They work by breaking down a dataset into smaller subsets while at the same time developing an...
Machine Learning: History, Concepts, and Application

Machine Learning: History, Concepts, and Application

Brief History and Early Use Cases of Machine Learning Machine learning began shaping in the mid-20th century, with Alan Turing’s 1950 paper “Computing Machinery and Intelligence” introducing the concept of machines learning like humans. This period...