Description
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions” is an accessible guide for developers and programmers eager to explore the intersection of artificial intelligence and evolutionary computation. This book focuses on the implementation of genetic algorithms—optimization techniques inspired by natural selection—and their application in machine learning to solve complex real-world problems. Through practical examples and code snippets, readers will learn how to create AI models, optimize tasks, and evolve solutions. Whether you’re developing algorithms to optimize resource management or training systems to make intelligent decisions, this book empowers you to leverage AI tools with a hands-on approach, making it ideal for developers with a passion for innovation.
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