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Linear Algebra and Optimization for Machine Learning

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout;

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Linear Algebra and Optimization for Machine Learning

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout;

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Machine Learning, Optimization, and Data Science

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data;

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Machine Learning, Optimization, and Data Science

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data;

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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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Learning and Intelligent Optimization

programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications;

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Optimization in Machine Learning and Applications

from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which;

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Optimization in Machine Learning and Applications

from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which;

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Learning and Intelligent Optimization

, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and;

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Learning and Intelligent Optimization

interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced;

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Implementations and Applications of Machine Learning

rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining;

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Implementations and Applications of Machine Learning

rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Data-Driven Evolutionary Optimization

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and;

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Advanced Machine Learning Technologies and Applications

This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications;

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Algorithms in Machine Learning Paradigms

, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence;

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Algorithms in Machine Learning Paradigms

, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence;

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Introduction to Online Convex Optimization, second edition

presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization;

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Learning and Intelligent Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization;

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Machine Learning Approaches for Urban Computing

This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive;

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Optimization for Machine Learning

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both;

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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

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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Current Approaches in Applied Artificial Intelligence

, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary;

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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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