Think Stats, 2nd ed. pdf epub mobi txt 电子书下载 2025

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Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master’s and Bachelor’s degrees from MIT.

出版者:O'Reilly Media

作者:Allen B. Downey

出品人:

页数:226

译者:

出版时间:2014-10-27

价格:USD 34.99

装帧:Paperback

isbn号码:9781491907337

丛书系列:

图书标签:

统计
数学
概率
数据分析
统计学习
数据挖掘
算法
技术

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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.

New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.

Develop an understanding of probability and statistics by writing and testing code

Run experiments to test statistical behavior, such as generating samples from several distributions

Use simulations to understand concepts that are hard to grasp mathematically

Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools

Use statistical inference to answer questions about real-world data