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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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Data Science and Its Applications

research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science;

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Cybernetics Cognition and Machine Learning Applications

of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and;

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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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ICDSMLA 2019

This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019;

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Cybernetics Cognition and Machine Learning Applications

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning;

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Machine Learning Technologies and Applications

field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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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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Machine Learning and Cognitive Science Applications in Cyber Security

variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Industrial Applications of Machine Learning

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Big Data, IoT, and Machine Learning

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning;

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Machine Learning The New AI

A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation;

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Biomedical Signal Processing

big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include;

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Introduction to Machine Learning with Python

machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn;

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Mastering Java for Data Science

of modern Data Science and Machine Learning libraries available in Java * Coverage of a broad set of topics, going from the basics of Machine;

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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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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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Machine Learning in Bioinformatics

An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are;

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Data Analytics in Bioinformatics

learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are;

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Discovery Science

knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various;

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Hands-on Scikit-Learn for Machine Learning Applications

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The;

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