Machine Learning

Machine Learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms and models that enable computer systems to learn and improve their performance on a specific task or set of tasks without being explicitly programmed. ML algorithms use statistical techniques to identify patterns and make predictions or decisions based on data.

Key Concepts and Components of Machine Learning:

1. Data:
   • Data is the foundation of machine learning. It consists of input variables (features) and the corresponding output (target) that the model aims to predict or classify.
2. Training Data:
   • The initial dataset used to train the machine learning model. The model learns patterns and relationships from this data during the training process.
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