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Data Analytics, Bioinformatics, and Machine Learning

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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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Pattern Recognition and Machine Intelligence

analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.;

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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 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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AI and Machine Learning Paradigms for Health Monitoring System

toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;

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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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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be;

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Trends of Data Science and Applications

practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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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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Recent Developments in Machine Learning and Data Analytics

research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research 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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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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Machine learning and Educational Data Analytics

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Effective Amazon Machine Learning

learning on the cloud Who This Book Is For This book is intended for data scientists and managers of predictive analytics projects; it will;

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Translational Bioinformatics Applications in Healthcare

, India. His research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining.;

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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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Healthcare Analytics Made Simple

learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and;

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An Introduction to Business Analytics

gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data;

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Context-Aware Machine Learning and Mobile Data Analytics

the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a;

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Practical Big Data Analytics

. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a;

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