gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
This project provides executable examples and visualizations for many key algorithms from Christopher Bishop's 'Pattern Recognition and Machine Learning' textbook. It takes the theoretical concepts from the book and brings them to life, allowing you to see how different machine learning models work. Anyone studying or teaching advanced machine learning concepts, such as graduate students, researchers, or data scientists, would find this useful for deeper understanding and practical application.
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Use this if you are studying Bishop's 'Pattern Recognition and Machine Learning' book and want to see the algorithms and mathematical concepts implemented and visualized.
Not ideal if you are looking for a high-level overview or ready-to-use machine learning solutions without diving into the underlying mathematical principles.
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Jupyter Notebook
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Jul 25, 2022
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