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Instructor Led Validation And Interpretation Training - Training Resources

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Validation And Interpretation Training Seminars and Classes
From Camo Process AS
Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1 instructor led trainingon-line e-learning cbt (computer based)study at homecoursewarecomputer labJapanese Our module Multivariate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®. The Unscrambler® Overview Visualizing Visualizing Data through Plots Modifying Variable and Sample Sets Data Pre-Processing PCA Regression Methods: PCR, PLS, MLR Outliers in PCA and PLS Inspection (Evaluation) of Data  more...
From The Modeling Agency
Data Mining: Level III instructor led traininggroup study and discussionworkshop / seminar ABOUT THIS COURSE This third-level offering takes the tactical and methodological presentation of Data Mining: Level II and puts the material into action through team-driven, live data mining exercises. Comparative review sessions then reveal real-world obstacles, breakthroughs and results from which to interpret, learn and apply. Data Mining: Level III is a hands-on application workshop,  more...
Data Mining: Level II instructor led traininggroup study and discussion ABOUT THIS COURSE This second level offering presents a deeper examination of the data mining process at a functional level. Attendees will observe demonstrations of computer-guided analytical techniques for extracting and interpreting complex business rules from data. If you desire a rapid and substantial boost in your understanding of data mining concepts, tools, techniques and supporting  more...
From Creascience
Simple and Multiple Linear Regression Techniques instructor led traininggroup study and discussioncomputer lab This one-day workshop offers an overview of simple and multiple linear regression techniques, starting with the interpretation of results, strengths and weaknesses and also discusses their practical realization. Upon completion of this course, participants will be able to: Explain the context of use of simple and multiple linear regression Understand what the underlying assumptions of  more...
Nonlinear Regression instructor led traininggroup study and discussioncomputer lab This half-day workshop offers an overview of nonlinear regression. This special type of regression technique is commonly used to model growth curves and to establish relationships between dose and responses. We discuss the strengths and weaknesses of the techniques, their practical implementation and the interpretation of results produced from the use of these techniques. Upon completion of  more...
Life, Reliability and Survival Models instructor led traininggroup study and discussioncomputer lab This one-day workshop offers an overview of the modeling techniques used for life data (time-to-event) and their specific features, the interpretation of results, strengths and weaknesses and also discusses their practical realization. Several applications in the social sciences, engineering and life sciences will be presented. Upon completion of this training course, participants will have  more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) instructor led traininggroup study and discussionworkshop / seminar The course hax been designed for individuals: * Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. * Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes. Course Topics  more...
From Creascience
Logistic Regression instructor led training Logistic regression is a statistical tool used to assess the effect of several explanatory variables on a categorical response variable, that is a variable that can only take on a limited set of values. This session covers logistic regression , a technique used whenever the response variable is binary or categorical, that is, when it can only take on a limited number of values. An example of a  more...
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