Kód: 51573345
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 ... celý popis
Angličtina
Nákupem získáte 65 bodů
Anotace knihy
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:
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.
Parametry knihy
651 Kč
AngličtinaOsobní odběr Praha, Brno a 46876 dalších
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