An Introduction to Statistics with Python: With Applications in the Life Sciences

An Introduction to Statistics with Python: With Applications in the Life Sciences
sku: 2615195
$151.14
Shipping from: United Arab Emirates
   Description
An Introduction to Statistics with Python: With Applications in the Life Sciences By Haslwanter, Thomas Published by Springer Publication Date: 2022-11-16 Subject: Computers Artificial Intelligence General, Computers Information Theory, Computers Mathematical & Statistical Software, Computers Artificial Intelligence - General, Computers Information Theory, Computers Mathematical & Statistical Software, Mathematics Probability & Statistics General, Mathematics Probability & Statistics - General, Science Life Sciences General, Science Life Sciences - General, Algorithms & Data Structures, Artificial Intelligence, Life Sciences: General Issues, Mathematical & Statistical Software, Probability & Statistics, Algorithms And Data Structures, Applied Computing, Mathematical And Statistical Software, Probability And Statistics, Mathematical & Statistical Software, Probability & Statistics, Life Sciences: General Issues, Algorithms & Data Structures, Artificial Intelligence, Computers Mathematical & Statistical Software, Computers, Mathematical & Statistical Software, Mathematics Probability & Statistics General, Mathematics, Probability & Statistics, General, Science Life Sciences General, Science, Life Sciences, Computers Information Theory, Information Theory, Computers Artificial Intelligence General, Artificial Intelligence, Mathematical And Statistical Software, Probability And Statistics, Algorithms And Data Structures, Applied Computing, Python Computer Program Language, Statistics - Data Processing - Software, Anf: Computers And It Subject Keywords: Python; statistical tests; data analysis; statistical methods; programming tools; applications in the life sciences; Python source code; introductory statistics; data visualization; hypothesis tests; survival times; patterns in data; time series; regression; Bayesian statistics; generalized linear models; statistical modelling; alternative to R Genre: Mathematical & Statistical Software, Probability & Statistics, Life Sciences: General Issues, Algorithms & Data Structures, Artificial Intelligence, Computers, Mathematical & Statistical Software, Mathematics, Probability & Statistics, General, Science, Life Sciences, General, Computers, Information Theory, Computers, Artificial Intelligence, General, Mathematical And Statistical Software, Probability And Statistics, Life Sciences: General Issues, Algorithms And Data Structures, Artificial Intelligence, Applied Computing Target Audience: Professional and scholarly
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