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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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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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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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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will;

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Human and Machine Learning

trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The;

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Machine Learning and Deep Learning in Real-Time Applications

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that;

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Handbook of Research on Machine Learning Innovations and Trends

publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.;

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Machine Learning Applications

in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find;

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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 in Marketing

learning, including a review of its most relevant types, algorithms, and relevance to marketing. The next section presents a typical machine;

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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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Machine Learning for Healthcare

help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within;

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Machine Learning in Cardiovascular Medicine

machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications 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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Machine Learning The New AI

offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and;

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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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Linear Algebra and Optimization for Machine Learning

concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the;

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Linear Algebra and Optimization for Machine Learning

concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the;

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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 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 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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Human Inspired Computing and its Applications

carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It;

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Machine Learning for OpenCV 4

scikit-learn Get up to speed with Intel OpenVINO and its integration with OpenCV 4 Implement high-performance machine learning models with;

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Machine Learning in Cognitive IoT

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT;

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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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Machine Learning with PySpark

challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;

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