Tag: supervised learning
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Machine Learning (ML)
Machine Learning (ML) is a subfield of artificial intelligence (AI) focused on developing algorithms that allow computers to learn from data and improve their performance over time without being explicitly programmed. In practical terms, a machine learning system automatically finds patterns in training data and uses those patterns to make predictions or decisions when given…
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Predictive Modeling
Definition and Overview Predictive modeling in the context of artificial intelligence (AI) is the process of using historical data and statistical algorithms (often powered by machine learning) to build models that can forecast future outcomes or unknown events. In simpler terms, a predictive model learns patterns from past data and predicts likely future behavior or…
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Training Data (Artificial Intelligence)
Training data refers to the dataset used to teach an AI or machine learning model how to recognize patterns, make predictions, or take actions. It is the foundational information that the model learns from, enabling it to gradually improve its performance on a given task. In essence, these are example data points (which can be…