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Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

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Genetic Algorithms and Machine Learning for Programmers” introduces programmers to the world of AI through practical applications of genetic algorithms and machine learning. Learn to create AI models, optimize solutions, and evolve intelligent systems in a hands-on, code-driven approach, ideal for developers looking to dive into AI without needing deep expertise in math.

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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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