cs401r_w2016:lab4
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| - | ====Objective:==== | ||
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| - | ====Deliverable:==== | ||
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| - | You will turn in an iPython notebook that performs Gaussian process regression on a simple dataset. You will explore multiple kernels and vary their parameter settings. | ||
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| - | When you are done, you should produce visualizations like the following (for noiseless observations): | ||
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| - | {{:cs401r_w2016:lab4.png?nolink|}} | ||
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| - | and like this (for noisy observations): | ||
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| - | {{:cs401r_w2016:lab4_noisy.png?nolink|}} | ||
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| - | ====Description:==== | ||
cs401r_w2016/lab4.txt ยท Last modified: 2021/06/30 23:42 (external edit)
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