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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;

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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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Deep Learning in Data Analytics

deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be;

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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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Intelligent Data-Analytics for Condition Monitoring

the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book;

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Advanced Deep Learning Applications in Big Data Analytics

major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Deep Data Analytics for New Product Development

information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail;

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Deep Data Analytics for New Product Development

information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Soft Computing in Data Science

organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;

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Deep Learning and Edge Computing Solutions for High Performance Computing

This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The;

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Fundamentals of Machine Learning for Predictive Data Analytics

introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type;

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Robust Representation for Data Analytics

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world;

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Advances on Smart and Soft Computing

, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;

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Codeless Deep Learning with KNIME

networks such as CNNs, RNNs, and LSTM with the help of practical examples Deploy a trained deep learning network on real-world data Who this;

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.;

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Applied Data Analytics

informatics, business data analytics, data from Internet of Things and deep learning applications.;

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Data Science Solutions with Python

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural;

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Cloud Analytics with Microsoft Azure

insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial;

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Data Analytics and AI

rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that artificial intelligence is included;

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Data Analytics and AI

rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that artificial intelligence is included;

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Big Data Analytics

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore;

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