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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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Comparative Approaches to Using R and Python for Statistical Data Analysis

visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;

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Open Source Geospatial Tools: Applications in Earth Observation

This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line;

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Big Data Analytics

, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and;

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Big Data Analytics

, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and;

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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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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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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Classification, (Big) Data Analysis and Statistical Learning

science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources;

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Statistical Data Analysis Explained

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from;

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Complete Guide to Open Source Big Data Stack

components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by;

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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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Statistical Analysis Methods for Chemists

the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess;

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An Introduction to R for Spatial Analysis and Mapping

analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for;

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Processing Metabolomics and Proteomics Data with Open Software

programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software;

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Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world;

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Open Source Software Policy Options for NASA Earth and Space Sciences

regarding open source software to complement its existing policy on open data. In particular, the report reviews existing data and software policies;

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SSD for R

book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos;

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Big Visual Data Analysis

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene;

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Bayesian Analysis For Social Sciences

implement the methods using WinBUGS - the most-widely used Bayesian analysis software in the world - and R - an open-source statistical software;

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Statistical Shape and Deformation Analysis

. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image;

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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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