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This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes... Læs mere
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This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.... Læs mere
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This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed,... Læs mere
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AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life... Læs mere
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A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to real world problems. This book tackles this... Læs mere
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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.
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Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the... Læs mere
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Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.
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This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new... Læs mere
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