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Machine Learning Basics and Applications by prince kumar is a document available to read on EtoBox.

What is Machine Learning Basics and Applications about?

Machine Learning (ML) is a branch of Artificial Intelligence that allows systems to learn from data without explicit programming, with major goals including prediction and pattern recognition. Supervised Learning uses labeled data for predictions, while Unsupervised Learning uses unlabeled data for pattern discovery. The document also discusses the importance of data preprocessing, the roles of training and test datasets, and various applications and challenges in ML.

Author

prince kumar

Language

EN