Python for Probability, Statistics, and Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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José Unpingco 作者

Springer

译者

2016-4-12 出版日期

276 页数

USD 112.55 价格

Hardcover

丛书系列

9783319307152 图书编码

Python for Probability, Statistics, and Machine Learning 在线电子书图书标签: Python 机器学习数据挖掘 Programming 数据科学 DM CS

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Python for Probability, Statistics, and Machine Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Python for Probability, Statistics, and Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Python for Probability, Statistics, and Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Python for Probability, Statistics, and Machine Learning 在线电子书图书描述

This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. 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. 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 anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.

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