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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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Data Analytics in Biomedical Engineering and Healthcare

medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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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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Big Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;

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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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Recent Developments in Machine Learning and Data Analytics

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;

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Fundamentals of Machine Learning for Predictive Data Analytics

data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This;

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Intelligent Data Analytics for Terror Threat Prediction - Architectures, Methodologies, Techniques and Applications

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and;

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Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

active learning approach, and a cost perceptive approach to resolve data imbalance. The Handbook of Research on Data Preprocessing, Active;

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Big Data Analytics Methods

and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess;

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Healthcare Analytics Made Simple

and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book;

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Oracle Business Intelligence with Machine Learning

representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning;

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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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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Machine Learning: Theory and Applications

learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across;

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Leveraging Data Science for Global Health

, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

researchers working in the areas of data mining, computational statistics, operations research, and machine learning.;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Engineering Analytics

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning;

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Applied Analytics through Case Studies Using SAS and R

understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data;

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Machine Learning Techniques for Improved Business Analytics

in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;

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Machine Learning Techniques for Improved Business Analytics

in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;

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Intelligent Learning Systems

neural network architecture for on-line learning, and resampling methods for unsupervised learning from sample data. Section 3 focuses on;

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