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Bioimage Data Analysis Workflows Advanced Components and Methods

conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results;

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Bioimage Data Analysis Workflows

without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular;

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The Workflow of Data Analysis Using Stata

The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons;

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Business And Scientific Workflows

data processing, and electrocardiogram wave analysis. It also presents key methods such as Petri nets and social network analysis to advance;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Advances in Intelligent Data Analysis X

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto;

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Standard and SuperResolution Bioimaging Data Analysis

A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution;

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Learning Geospatial Analysis with Python

Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS;

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Data-Driven Innovation

need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven;

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Apache Oozie

. Once you set up your Oozie server, you'll dive into techniques for writing and coordinating workflows, and learn how to write complex data;

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Data Structure and Software Engineering

This title includes a number of Open Access chapters. Data structure and software engineering is an integral part of computer science;

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Data Structure and Software Engineering

This title includes a number of Open Access chapters. Data structure and software engineering is an integral part of computer science. This;

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Perspectives on Pattern Recognition

for real time applications and quantitative bioimage analysis using pattern recognition.;

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Konzeption und Realisierung eines Data Warehouses zur Analyse chirurgischer Workflows

Verifizierung medizinischer Hypothesen. In dieser Studie wird ein Data Warehouse (DWH) entwickelt, womit chirurgische Workflows erfasst und analysiert;

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Mastering Spark with R The Complete Guide to LargeScale Analysis and Modeling

, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics;

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Scientific Data Management

of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization;

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Scientific Data Management

of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization;

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Office 2010 Workflow

of data and potential. Office 2010 Workflow details how to implement workflow in SharePoint 2010 and the client Microsoft Office 2010 suite to;

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Visual Analytics for Data Scientists

possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised;

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Visual Analytics for Data Scientists

possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised;

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Learn PySpark

learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark;

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Learn PySpark

learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing;

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Learning Alteryx

process * Blend and join data into a single dataset for self-service analysis * Write advanced expressions in Alteryx leading to an optimal;

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Kubeflow Operations Guide Managing Cloud and OnPremise Deployment

practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes;

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Enterprise Data Workflows With Cascading

abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications - without having to;

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Apache Oozie Essentials

Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go About This Book;

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