MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 - 28. Models vs. Data 1

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10-34-numerical-methods-applied-to-chemical-engineering-fall-2015 bayesian bayesian parameter estimation data analysis disapproving a model method of least square model validation modeling models parameter estimation probability refine parameter values

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MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/10-34F15 Instructor: William Green Students learned basics in modeling for data analysis and also how to build valid models to tackle chemical engineering problems. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

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