Exploring Machine Learning Models
A machine learning model is a mathematical depiction of the training process's outcomes. Machine learning involves exploring various algorithms capable of self-enhancement via experience and historical data, leading to model creation. Comparable to computer software, a machine learning model is engineered to identify patterns or behaviors using past data or experiences. Through the learning algorithm, patterns within training data are unearthed, resulting in the creation of an ML model that encapsulates these patterns and offers predictions for novel data. Categorization of Machine Learning Models Tailored to diverse business objectives and datasets, algorithms are categorized into three distinct learning models. Every machine learning algorithm aligns with one of these three models: Supervised Machine Learning Models Unsupervised Machine Learning Models Reinforcement Learning 1. Supervised Machine Learning Models The most understandable machine learning model is supervised lear