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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big;

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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;

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Statistical Learning from a Regression Perspective

statistical learning; the impact of big data on statistical learning; the nature and consequences of post-model selection statistical inference;

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Mathematical Problems in Data Science

, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions;

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Classification, (Big) Data Analysis and Statistical Learning

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data;

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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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Spark for Data Science

' implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Computational and Statistical Methods for Analysing Big Data with Applications

statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Big Data in Psychiatry and Neurology

analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics;

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

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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Practical Statistics for Data Scientists

belongs to Statistical machine learning methods that learn from data Unsupervised learning methods for extracting meaning from unlabeled data;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Signal Processing and Machine Learning for Biomedical Big Data

alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;

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Practical Big Data Analytics

, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical;

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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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Handbook of Big Data Analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical;

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Handbook of Big Data Analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical;

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Big Data Approach to Firm Level Innovation in Manufacturing

This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation;

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Big Data in Multimodal Medical Imaging

book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the;

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Big Data in Multimodal Medical Imaging

book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the;

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