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AI, ML, DL, and DS Explained by syedaalisha1021 is a document available to read on EtoBox.

What is AI, ML, DL, and DS Explained about?

The document outlines the differences between Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Data Science (DS), defining each term and providing examples. It also explains types of ML, key concepts like data preparation and prediction, and introduces clustering and regression analysis. Additionally, it discusses optimization techniques like gradient descent and convergence algorithms, along with tools such as confusion matrices for evaluating model performance.

Author

syedaalisha1021

Language

EN