Sebastian Raschka 12/29/2021

Introduction to Machine Learning

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This article compiles approximately 90 machine learning lectures recorded in 2020-2021, organized into sections covering introduction to ML, computational foundations with Python, tree-based methods, model evaluation, dimensionality reduction, and Bayesian methods. All code examples use Python and popular libraries like NumPy and scikit-learn.

Introduction to Machine Learning

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