SKU/Artículo: AMZ-B0GPQXCCK5
Computational Probability And Statistics With Python: A Practical Approach to Random Variables and Statistical Simulations
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.20 kg
1.20 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Learn the fundamentals of statistical modeling and data analysis with this practical, hands-on guide.Computational Probability and Statistics with Python bridges the gap between theoretical math and modern programming. Designed for students, data scientists, and researchers, this book provides a clear pathway to understanding complex random variables through the power of computer simulations.Go beyond static formulas. This approach focuses on computational methods to visualize data, simulate stochastic processes, and solve real-world statistical problems. Whether you are conducting academic research or building data-driven applications, you will gain the skills needed to implement rigorous statistical analysis with confidence.What You Will Find Inside:Foundational Probability: A deep dive into discrete and continuous random variables.Statistical Simulations: Practical techniques for Monte Carlo methods and stochastic modeling.Data Visualization: Clear examples of how to represent statistical distributions visually.Applied Inference: Step-by-step guidance on hypothesis testing and parameter estimation.Code-First Learning: Real-world examples designed for immediate implementation in your projects.Designed for self-learners and professionals alike, this book transforms abstract concepts into functional tools for modern quantitative analysis.
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AR$112.284
55% OFF
AR$51.036
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