PROBABILITY THEORY WITH PYTHON : Master Random Variables, Distributions, Bayesian Reasoning, and Simulation for Data-Driven Decision Making
by Eluan Dan
Master probability theory and Python to understand random variables, distributions, Bayesian reasoning, and simulation for effective data-driven decisions.
About This Book
This book introduces probability theory concepts with Python programming examples.
Readers explore random variables, distributions, and Bayesian reasoning techniques.
Simulation methods are presented to support data analysis and modeling.
The content focuses on applying probability principles to real-world decision making.
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