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Machine Learning for Physicists/Chemists: Image Classification
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Related lectures (32)
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Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Machine Learning Fundamentals
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Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.
Supervised Learning: Classification Algorithms
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Introduction to Machine Learning: Course Overview and Basics
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Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.
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