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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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Machine Learning and Deep Learning in Real-Time Applications

levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses;

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Implementations and Applications of Machine Learning

mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including;

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Implementations and Applications of Machine Learning

mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including;

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Handbook of Research on Machine Learning Innovations and Trends

Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications;

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Machine Learning: Theory and Applications

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size;

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Machine Learning Applications

new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used;

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Machine Learning With Go

learning applications that leverage Go's standard library along with popular Go packages. * Learn the statistics, algorithms, and techniques;

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;

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Handbook Of Machine Learning - Volume 1

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and;

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Metaheuristics in Machine Learning

in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections;

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Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Handbook of Neural Computation

, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval;

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Machine Learning Techniques for Improved Business Analytics

in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;

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Machine Learning Techniques for Improved Business Analytics

in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science;

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Machine Learning and Artificial Intelligence

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications;

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Machine Learning and Artificial Intelligence

to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the;

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Introduction to Machine Learning with Python

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to;

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Machine Learning and the Internet of Medical Things in Healthcare

healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and;

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Advanced Data Mining

, scholars, and PhD students who aspire to practice data mining techniques. The elementary contribution of this book is to mark frontier fields and;

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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