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Python for Probability, Statistics, and Machine Learning Ed 2 free ebook download

Category:
Mathematics

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Catalogue

Author(s):	Jose Unpingco

Date:	2019	Format:	EPUB, PDF	Language:	English	ISBN/ASIN:	3030185443
Pages:	384	OCR:		Quality:		ISBN13:
Uploader:	Gustavi	Upload Date:	1/25/2020 6:16:26 AM

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This textbook, fully updated to feature Python version 3.7, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. The update features full coverage of Web-based scientific visualization with Bokeh Jupyter Hub  Fisher Exact, Cohens D and Rank-Sum Tests  Local Regression, Spline, and Additive Methods  and Survival Analysis, Stochastic Gradient Trees, and Neural Networks and Deep Learning. Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for classes in probability, statistics, or machine learning and requires only rudimentary knowledge of Python programming.

Links Table

	Title	Link	Thank to
2683531	Book	https://novafile.com/r3kp8vckxmc5...	Gustavi
2683532	Book	https://novafile.com/0e3jaccd4qxo...	Gustavi
2683533	Book	https://www.uploadship.com/9b05f47af9f07...	Gustavi
2683535	Book	https://www.uploadship.com/f8e509c45042c...	Gustavi

Tags: Learning Machine Probability Python Statistics

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Python for Probability, Statistics, and Machine Learning Ed 2 free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics