Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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Python and NumPy concepts that are easy to forget in quantum physics
Discover the Python and NumPy concepts that are easy to forget but essential for quantum physics calculations. This tutorial highlights key functions, array manipulations, and numerical techniques ...
jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy 初級：配列の作成 ...
To provide the community with a robust toolkit of independently developed and implemented fuzzy logic algorithms To increase the attractiveness of scientific Python as a valid alternative to ...
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