Ultimate Genetic Algorithms with Python by Indrajit Kar (.ePUB)

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File Size: 84.3 MB

Ultimate Genetic Algorithms with Python: Build Intelligent and Adaptive AI Systems with Genetic Algorithms in Python for Machine Learning, Deep Learning, and Multi-Agent Domains by Indrajit Kar, Zonunfeli Ralte
Requirements: .ePUB reader, 84.3 MB
Overview: Harness Genetic Algorithms to Build the Next Generation of Adaptive AI. Genetic Algorithms (GAs) are nature-inspired optimization tools that help AI systems adapt, improve, and solve complex problems efficiently. Ultimate Genetic Algorithms with Python explains elaborately the fundamentals of GAs to practical, Python-based implementation, using PyGAD and DEAP. The book starts with a solid foundation, explaining how evolutionary principles can be applied to optimization tasks, search problems, and model improvement. You will also explore GA applications across multiple AI domains: optimizing Machine Learning workflows, evolving neural network architectures in Deep Learning, enhancing feature selection in NLP, improving performance in computer vision, and guiding exploration strategies in reinforcement learning. Each application chapter includes step-by-step coding examples, performance comparisons, and tuning techniques. So, whether you are just beginning your exploration or seeking to deepen your expertise, this book provides both the conceptual clarity and practical fluency needed to harness the power of Genetic Algorithms in reshaping our digital world.
Genre: Non-Fiction > Tech & Devices

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