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This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.
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Bemærk: Kan ikke leveres før jul.
A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data.
Bemærk: Kan leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.
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The book covers several of the major data analysis techniques used to analyze data from high-throughput molecular biology and genomics experiments. It also explains the major concepts behind most of the popular techniques and examines some of the simpler techniques in detail.
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This book illustrates the range of tasks and design choices in current music generation research, applying machine learning techniques and highlighting recurring... Læs mere
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The main purpose of the text is to present the student with just enough of the R language, machine learning algorithms, and... Læs mere
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This book discusses various aspects of agent-based modeling and simulation using FLAME (Flexible Large-scale Agent-Based Modeling Environment).... Læs mere
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This book introduces reinforcement learning, and provides novel ideas and use cases to demonstrate the benefits of using reinforcement learning for Cyber Physical Systems. Two important case studies on applying reinforcement learning to cybersecurity problems are included.
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Based on the author’s experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.