Bayesian Programming for Beginners: Learn to Build, Train, and Apply Bayesian Networks in Real Projects

Name: Bayesian Programming for Beginners: Learn to Build, Train, and Apply Bayesian Networks in Real Projects
Brand: Independently Published
SKU: 9798254161202
Price: 2544.0 INR
Availability: InStock

by Henry Lin

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ISBN13: 9798254161202
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: March 29, 2026
Pages: 162
Original Price: USD 29.99
Language: English
Edition: N/A
Item Weight: 291 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

Bayesian Programming for Beginners is your practical, hands-on guide to building intelligent systems that can reason under uncertainty using Bayesian Networks.

In today's data-driven world, real problems are rarely clear-cut. From predicting user behavior to diagnosing diseases or detecting fraud, uncertainty is everywhere. This book teaches you how to embrace that uncertainty and turn it into a powerful advantage.

Designed specifically for developers and beginners, this book takes you step by step from the fundamentals of probability to building real-world Bayesian models using Python. You don't need a strong math background-everything is explained in clear, simple language with fully working code examples you can run immediately.

Inside, you'll learn how to:

Understand probability, conditional probability, and Bayes' theorem
Build and structure Bayesian Networks from scratch
Perform probabilistic inference to make data-driven predictions
Learn model parameters and structures directly from data
Use Python libraries like pgmpy for real-world implementations
Apply Bayesian methods to healthcare, finance, and AI systems
Scale and optimize models for practical use

By the end of this book, you'll be able to design and implement your own Bayesian models for real-world applications such as fraud detection, recommendation systems, and decision support tools.

Whether you're a developer, data analyst, student, or AI enthusiast, this book will give you a solid foundation in probabilistic thinking and Bayesian programming.

If you want to build smarter, more explainable AI systems that work in the real world, this book will show you how.

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