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Topic 9 Data Analytics 2025 by Muhammad Rizky is a document available to read on EtoBox.

What is Topic 9 Data Analytics 2025 about?

The document provides an overview of Machine Learning (ML), defining it as a subset of artificial intelligence that enables machines to learn from data and make predictions. It discusses the differences between traditional programming and ML, the concepts of bias and variance, and the types of ML, including supervised and unsupervised learning. Additionally, it outlines various algorithms used in ML, such as regression and classification, and highlights their applications in real-world scenarios.

Author

Muhammad Rizky

Language

EN