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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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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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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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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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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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Advances in Cybernetics Cognition and Machine Learning for Communication Techn

This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and;

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Engineering Artificially Intelligent Systems

Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our;

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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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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Mastering Machine Learning for Penetration Testing

Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security;

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Progress in Systems Engineering

intelligence, signal processing, decision support, pattern recognition and machine learning, information and communication technologies, image;

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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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Engineering Applications of Neural Networks

and selected from 39 submissions. The papers are organized in topical sections on activity recognition, deep learning, extreme learning;

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Data-Driven Science and Engineering

intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics;

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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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Intelligent Information and Database Systems

software engineering; intelligent information systems; decision support and control systems; machine learning and data mining; computer vision;

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Intelligent Information and Database Systems

software engineering; intelligent information systems; decision support and control systems; machine learning and data mining; computer vision;

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Control Engineering and Information Systems

- Machine learning - Systems science and systems engineering - Data mining - Optimization - Business process management - Evolution;

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Recent Advances in Artificial Intelligence and Data Engineering

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various;

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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Machine Learning with Python for Everyone

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;

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Building Intelligent Systems

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and;

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Advances in Data Science and Information Engineering

tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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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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