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Applied Predictive Modeling

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data;

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Harnessing the Power of Analytics

data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline;

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GIS and Archaeological Site Location Modeling

together theoretical models and case studies and explains how modeling may be applied to future projects. The book illustrates the various aspects;

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GIS and Archaeological Site Location Modeling

together theoretical models and case studies and explains how modeling may be applied to future projects. The book illustrates the various aspects;

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Predictive Modeling Applications in Actuarial Science

Predictive modeling uses data to forecast future events. It exploits relationships between explanato;...

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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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Personalized Predictive Modeling in Type 1 Diabetes

Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to;

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Predictive Modeling Applications In Actu

Predictive modeling involves the use of data to forecast future events. It relies on capturing relat;...

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Predictive Modeling of Drug Sensitivity

techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to;

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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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Learning Predictive Analytics With Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on;...

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Credit Scoring Response Modeling and Insurance Rating

A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and;

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Predictive Modelling for Energy Management and Power Systems Engineering

>Explores novel developments in machine-learning and artificial intelligence applied in energy managementProvides modeling theory;

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Predictive Modeling with SAS Enterprise Miner

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Predictive Business Analytics

of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied;

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Modern Predictive Control

current control move is applied to the plant. This complete, step-by-step exploration of various approaches to MPC: Introduces;

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Modern Predictive Control

control move is applied to the plant. This complete, step-by-step exploration of various approaches to MPC: Introduces basic concepts of systems;

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Applied Analytics through Case Studies Using SAS and R

predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business;

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Predictive Modeling of Dynamic Processes

Predictive Modeling of Dynamic Processes provides an overview of hydrocode technology, applicable to;...

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Python: Advanced Predictive Analytics

Gain practical insights by exploiting data in your business to build advanced predictive modeling ap;...

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Experimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and Their Polymer Composites

>Outlines the fundamentals and procedures of computational modeling as it is applied to carbon nanotubes and other nanomaterials;

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Mastering Predictive Analytics with R -

Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundati;...

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Predictive Statistics

All scientific disciplines prize predictive success. Conventional statistical analyses, however, tre;...

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Multiscale Modeling of the Skeletal System

tissue levels to the cellular level, where the modeling of mechanobiological processes is addressed. Finally, the principles are applied to;

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Supervised Machine Learning for Text Analysis in R

How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive;...

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Supervised Machine Learning for Text Analysis in R

How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive;...

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