Machine Learning: Basics and Applications

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Description

This lecture covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, and clustering. It also discusses the applications of machine learning in image classification, healthcare, and gaming.

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Related lectures (31)

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Related lectures (31)

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Principal Component Analysis: Dimensionality Reduction

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Machine Learning Fundamentals

Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.