Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions
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Ivan Gridin is a machine learning expert living in Moscow, Russia. Over the years, he worked on distributive high-load systems and implemented different machine learning approaches in practice. One of the key areas of his research is the design and analysis of predictive time series models. Ivan has fundamental math skills in probability theory, random process theory, time series analysis, machine learning, deep learning, and optimization. email: ivan.gridin.pro@gmail.com
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR014403655
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Soft cover. Zustand: New. Genetic algorithms are one of the most straightforward and powerful techniques used in machine learning. This book 'Learning Genetic Algorithms with Python' guides the reader right from the basics of genetic algorithms to its real practical implementation in production environments. Each of the chapters gives the reader an intuitive understanding of each concept. You will learn how to build a genetic algorithm from scratch and implement it in real-life problems. Covered with practical illustrated examples, you will learn to design and choose the best model architecture for the particular tasks. Cutting edge examples like radar and football manager problem statements, you will learn to solve high-dimensional big data challenges with ways of optimizing genetic algorithms. Artikel-Nr. 140574
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Anbieter: moluna, Greven, Deutschland
Zustand: New. KlappentextRefuel your AI Models and ML applications with High-Quality Optimization and Search SolutionsKey FeaturesComplete coverage on practical implementation of genetic algorithms.Intuitive explanations and visualizations supply theo. Artikel-Nr. 909380214
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