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...
Support Vector Machines (SVM) in AI and ML

Support Vector Machines (SVM) in AI and ML

Support Vector Machines (SVM) in AI and ML Support Vector Machines (SVM) are a set of supervised learning methods used in artificial intelligence (AI) and machine learning (ML) for classification and regression tasks. They are known for their effectiveness in...
Understanding Neural Networks

Understanding Neural Networks

Neural Networks: An Overview Neural networks are a cornerstone of artificial intelligence (AI), simulating the way human brains analyze and process information. They consist of interconnected nodes, mirroring the structure of neurons in the brain, and are employed to...
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...