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Handbook of Research on Applications and Implementations of Machine Learning Techniques

it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Machine Learning With Go

Build simple, maintainable, and easy to deploy machine learning applications. About This Book * Build simple, but powerful, machine;

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Metaheuristics in Machine Learning

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered;

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Challenges and Trends in Multimodal Fall Detection for Healthcare

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and;

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Advances in Machine Learning Applications in Software Engineering

of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an;

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Practical Machine Learning with Rust

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering;

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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

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

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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Reservoir Computing

flexibility for various hardware implementations. It originated from computational neuroscience and machine learning but has, in recent years, spread;

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Machine Learning on Geographical Data Using Python

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data;

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Machine Learning Paradigm for Internet of Things Applications

have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning;

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Machine Learning with Spark -

powerful tools to load, analyze, clean, and transform your data Who This Book Is For If you have a basic knowledge of machine learning and;

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Beginning Machine Learning in iOS

and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products;

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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;

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Distributed Machine Learning and Gradient Optimization

fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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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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Machine Learning in Industry

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep;

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Machine Learning and Cognitive Science Applications in Cyber Security

variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;

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Machine Learning

Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field;

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Advanced Data Mining

of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence and other areas. This book majorly focuses;

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