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From HOT Engineering
Bayesian Inference and Neural Networks in Formation Evaluation
This course will introduce the participants to the basic methods and techniques of modern Bayesian inference and Neural Network technology and their application in formation evaluation and reservoir characterisation. Bayesian inference allows dealing with complex problems in a conceptually simple and unified way.
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From Rapid Progress Marketing and Modeling, LLC
The Essentials of Data Mining and Predictive Modeling for Internet and Direct Marketers



DESCRIPTION
"Data Mining and Predictive Modeling" are intertwined buzzwords that wea ve all heard. And perhaps youa re not quite sure what they mean or how they differ. While this is an incredibly important question to answer, the even more vital question is, "How do I make them meaningful?" This course addresses all of these questions in detail.
Though frequently thought of in terms of
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Advanced Data Mining and Predictive Modeling for Internet and Direct Marketers



DESCRIPTION
"Advanced" data mining and predictive modeling dives into the more sophisticated data mining and modeling techniques that an increasing number of enterprises are employing to generate huge impacts on their bottom lines, whether it be through the internet or through direct marketing channels.
Long gone are the days when data was scarce. In the modern world, wea re drowning in data
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From The Modeling Agency
Predictive Analytics and Data Mining - Model Development

ABOUT THIS COURSE
The Modeling Agency's "Model Development" course presents a deep dive into the data mining process at a tactical level. Attendees will observe demonstrations of machine learning methods and computer-guided analytical techniques for extracting and interpreting complex patterns and relationships from large volumes of data. If you desire an intensive tactical orientation to data
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Predictive Analytics and Data Mining - Strategic Implementation

ABOUT THIS COURSE
Data mining is essentially a discovery process -- a process riddled with common yet elusive strategic pitfalls. Project failure is rarely due to poor model development. Rather, data mining projects often fall short of their potential due to flawed or overlooked assessment, business understanding, project definition and strategic planning specifically for information
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