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Data capture & analysis books

See below for a selection of the latest books from Data capture & analysis category. Presented with a red border are the Data capture & analysis books that have been lovingly read and reviewed by the experts at Lovereading.

With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Data capture & analysis books and those from many more genres to read that will keep you inspired and entertained. And it's all free!


Recently Published

Ontology-Based Data Access Leveraging Subjective Reports by Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz Ontology-Based Data Access Leveraging Subjective Reports
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This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user's preferences and a collection of (subjective) reports provided by other users. Most assume each report can...
Format: Paperback - Released: 24/10/2017

Entrepreneurial Analytics The Big Data Implementation Handbook by Shirin Mojarad Entrepreneurial Analytics The Big Data Implementation Handbook

Implementing advanced analytics at scale in a competitive landscape requires the speed, agility, and mindset of an entrepreneur. It is here that organizations in the future will gain an edge. This book provides the practical guidance? and theoretical background necessary...
Format: Paperback - Released: 23/10/2017

Head First Data Analysis 2e by Michael Milton Head First Data Analysis 2e

There's a whole world of data out there, and it's your job to make sense of it all. Where to begin? This hands-on book will help you collect and organize your data, sort the distractions from the truth, find meaningful...
Format: Paperback - Released: 12/10/2017

Modern Technologies for Big Data Classification and Clustering by Hari Seetha, B. K. Tripathy, C. Shoba Bindu, S Rao Chintalapudi Modern Technologies for Big Data Classification and Clustering
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Presents the latest scholarly research on handling large data sets with conventional data mining and provides information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and...
Format: Hardback - Released: 30/09/2017

Tableau 10 Bootcamp by Joshua N. Milligan, Donabel Santos Tableau 10 Bootcamp
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Sharpen your data visualization skills with Tableau 10 Bootcamp. About This Book * Make informed decisions using powerful visualizations in Tableau * Learn effective data storytelling to transform how your business uses ideas * Use this extensive bootcamp that makes...
Format: Paperback - Released: 26/09/2017

Analytics for the Internet of Things (IoT) by Andrew Minteer Analytics for the Internet of Things (IoT)

Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book * Make better business decisions and acquire greater control of your IoT infrastructure * Learn techniques to solve unique problems...
Format: Paperback - Released: 24/07/2017

Data Modeling Master Class Training Manual Steve Hoberman's Best Practices Approach to Understanding & Applying Fundamentals Through Advanced Modeling Techniques by Steve Hoberman Data Modeling Master Class Training Manual Steve Hoberman's Best Practices Approach to Understanding & Applying Fundamentals Through Advanced Modeling Techniques


Format: Paperback - Released: 15/07/2017

Practical Predictive Analytics by Ralph Winters Practical Predictive Analytics

Make sense of your data and predict the unpredictable About This Book * A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics * Apply the principles and techniques of predictive analytics...
Format: Paperback - Released: 30/06/2017

Other books in this genre

Analyzing Data with Power BI and Power Pivot for Excel by Alberto Ferrari, Marco Russo Analyzing Data with Power BI and Power Pivot for Excel
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Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data,...
Format: Paperback - Released: 19/04/2017

The Strategy and Practice of Analytics by Robert Grossman The Strategy and Practice of Analytics

This practical how-to guide is ideal for any manager responsible for using data science and analytics to gain business value from data. Author Robert L. Grossman Founder and Partner of the Open Data Group provides a framework for professionals involved...
Format: Paperback - Released: 31/03/2017

Big and Complex Data Analysis Methodologies and Applications by S. Ejaz Ahmed Big and Complex Data Analysis Methodologies and Applications

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network...
Format: Hardback - Released: 29/03/2017

Learning PySpark by Tomasz Drabas, Denny Lee Learning PySpark
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Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book * Learn why and how you can efficiently use Python to process data and build machine learning models in Apache...
Format: Paperback - Released: 27/02/2017

R for Data Science Import, Tidy, Transform, Visualize, and Model Data by Garrett Grolemund, Hadley Wickham R for Data Science Import, Tidy, Transform, Visualize, and Model Data
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and...
Format: Paperback - Released: 05/01/2017

Business Driven Technology by Paige Baltzan Business Driven Technology

Provides flexibility in tailoring content to the exact needs of your MIS or IT course. This book covers essential concepts and topics in the five core units, while providing additional in-depth coverage in the business and the technology plug-ins.
Format: Hardback - Released: 02/01/2017

Apache Spark for Data Science Cookbook by Padma Priya Chitturi Apache Spark for Data Science Cookbook

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing with these hands-on recipes * Implement end-to-end, large-scale data analysis better than ever before * Work with powerful libraries...
Format: Paperback - Released: 22/12/2016

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