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Machine Learning Theoretical Foundations and Practical Applications

algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory;

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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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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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Proceedings of International Conference on Big Data Machine Learning and Applic

Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the;

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Machine Learning: Theory and Applications

field. The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document;

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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 in Radiation Oncology

This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory;

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Theory and Practice of Computation

The papers included in the proceedings focus on both theoretical and practical aspects of computations, such as programming language theory;

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Machine Learning Guide for Oil and Gas Using Python

critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil;

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Machine Learning for Robotics Applications

in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both;

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Machine Learning The New AI

systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product;

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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;

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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 for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Machine Learning in Finance

covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective;

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Machine Learning in Finance

covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective;

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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 for OpenCV 4

concepts for image processing Explore the theory behind machine learning and deep learning algorithm design Discover effective techniques to train;

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Industrial Applications of Machine Learning

industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice;

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Conformal Prediction for Reliable Machine Learning

financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory;

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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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Practical Machine Learning in JavaScript

learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js;

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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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Enabling Machine Learning Applications in Data Science

research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning;

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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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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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