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What is Basics of AI Module 1 Complimentary Notes 02 about?

The document outlines the basics of AI, focusing on three types of machine learning: supervised, unsupervised, and reinforcement learning. It details the machine learning life cycle, which includes stages such as problem definition, data collection, model selection, and deployment, emphasizing the importance of data preparation and feature engineering for model accuracy. Continuous monitoring and maintenance are crucial for adapting models to new data and improving their performance.

Author

MG Creations

Language

EN