现在的位置: 首页人工智能, 英文图书, 软件>正文
Python for Probability, Statistics, and Machine Learning
图书分类:人工智能, 英文图书, 软件 暂无评论 ⁄ 被围观 53 次阅读+

Book Description:

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.

 

Author:José Unpingco

ISBN-10:3319307150

Year:2016

Pages:276

Language:English

File size:7.31 MB

下载信息:能赚钱的网盘
标签:, ,

你可能喜欢

0 0 vote
Article Rating
Subscribe
提醒
0 评论
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x