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Modeling data with non-linear optimization

In this tutorial, we will learn how to use non-linear optimization routines in scipy.optimize to model data and examine a practical example, using some data from psychophysical experiments that I did in collaboration with Ayelet Landau. Goals of this tutorial¶ Define modeling and understand why models are useful. Learn about different strategies for fitting models.



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Modeling data with non-linear optimization

https://arokem.github.io/2014-08-12-learn-optimization.html

In this tutorial, we will learn how to use non-linear optimization routines in scipy.optimize to model data and examine a practical example, using some data from psychophysical experiments that I did in collaboration with Ayelet Landau. Goals of this tutorial¶ Define modeling and understand why models are useful. Learn about different strategies for fitting models.



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https://arokem.github.io/2014-08-12-learn-optimization.html

Modeling data with non-linear optimization

In this tutorial, we will learn how to use non-linear optimization routines in scipy.optimize to model data and examine a practical example, using some data from psychophysical experiments that I did in collaboration with Ayelet Landau. Goals of this tutorial¶ Define modeling and understand why models are useful. Learn about different strategies for fitting models.

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      In this tutorial, we will learn how to use non-linear optimization routines in scipy.optimize to model data and examine a practical example, using some data from psychophysical experiments that I did in collaboration with Ayelet Landau. Goals of this tutorial¶ Define modeling and understand why models are useful. Learn about different strategies for fitting models.
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