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Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...

In January 1994, Guido van Rossum announced Python 1.0 to the world via a Usenet post, promising a language with a "readable syntax" that would save developers from "decyphering the Perl code you ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...