次世代シーケンサが求める機械学習

The document discusses Bayesian linear regression. It introduces the parameter distribution by assuming a Gaussian prior distribution for the model parameters. This leads to a Gaussian posterior distribution. It then discusses the predictive distribution for new data points by marginalizing over the posterior distribution of the parameters. Finally, it introduces the concept of an equivalent kerne

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Check out this SlideShare presentation : 次世代シーケンサが求める機械学習

[taroleo]

ここで紹介されてることの応用現場がうちのラボ。。