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Advances in Machine Learning Applications in Software Engineering

increasingly important role in many software development and maintenance tasks. Advances in Machine Learning Applications in Software Engineering;

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Applications of Artificial Intelligence and Machine Learning

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial;

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Machine Learning and Systems Engineering

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October;

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Intelligent Algorithms in Software Engineering

statistical learning in software engineering research, are presented.;

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Software Engineering and Algorithms

essential role in computer science research. In this book, modern research methods, application of machine and statistical learning in the software;

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Machine Learning Technologies and Applications

This book comprises the best deliberations with the theme Machine Learning Technologies and Applications in the International Conference;

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Empowering Artificial Intelligence Through Machine Learning

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new;

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Intelligent Data Engineering and Automated Learning - IDEAL 2019

on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers;

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Intelligent Data Engineering and Automated Learning IDEAL 2020

on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented;

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Intelligent Data Engineering and Automated Learning IDEAL 2020

on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented;

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Intelligent Data Engineering and Automated Learning - IDEAL 2019

on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers;

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Engineering Dependable and Secure Machine Learning Systems

This book constitutes the revised selected papers of the Third International Workshop on Engineering Dependable and Secure Machine Learning;

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Machine Learning Engineering with Python

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production;

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The Application of Artificial Intelligence

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;

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The Application of Artificial Intelligence

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;

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Machine Learning and Artificial Intelligence for Agricultural Economics

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards;

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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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Advances in Systems Engineering

in systems engineering, it covers a variety of topics, such as analog and digital hardware systems, artificial intelligence and machine learning;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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A Primer on Machine Learning Applications in Civil Engineering

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded;

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Empirical Research in Software Engineering

, on data collected from source code repositories. She also covers the application of machine learning techniques in empirical software;

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Advances in Distributed Computing and Machine Learning

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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Advances in Applications of Data Driven Computing

This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour;

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning;

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