Instructor Led Inference Training - Training Resources
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 instructor-led class |
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 group study |
 self-directed study |
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 DVD video training |
 printed book |
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 workshop seminar |
 train the trainer |
 computer-based learning |
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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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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.
more...
From Creascience
Fundamental Tools in Statistics
An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics.
First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard
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An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics.
First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard
more...
Introduction to the Design of Experiments
This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence
more...
This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence
more...
