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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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Modeling Techniques in Predictive Analytics

data, presenting models, and evaluating performance. All example code is presented in R, today's #1 system for applied statistics, statistical;

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Statistical Methods for Materials Science

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Foundations of Predictive Analytics

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the;

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Foundations of Predictive Analytics

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Harness Big Data With Analytics

complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms;

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Building Better Models with JMP Pro

-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied;

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Harnessing the Power of Analytics

This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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Advanced Data Analytics for Power Systems

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Applied Univariate, Bivariate, & Multivariate Stat istics

a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring;

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Learning Predictive Analytics With Python

to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using;

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Business Analytics

foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3;

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Advanced R Statistical Programming and Data Models

, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;

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Python: Advanced Predictive Analytics

predictive models Book Description Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not;

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Statistical Foundations, Reasoning and Inference

and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful;

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Statistical Methods for the Evaluation of University Systems

This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined;

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