[Pagsusuri] Pattern Recognition and Machine Learning (Christopher M. Bishop) Nabuod.

Pattern Recognition and Machine Learning (Christopher M. Bishop)

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#Bayesianinference #Graphicalmodels #Gaussianmixturemodels #ExpectationMaximizationalgorithm #Approximateinference #PatternRecognitionandMachineLearning

Ang Pattern Recognition and Machine Learning ni Christopher M. Bishop ay isang malalim na aklat-aralin sa machine learning at statistical pattern recognition, na unang inilathala noong 2006 sa seryeng Information Science and Statistics. Hindi ito nakasentro sa mabilisang paggamit ng mga software library o sa mga recipe para gumawa agad ng modelo. Sa halip, ipinaliliwanag nito kung paano bumuo, magsuri, at mag-infer ng mga modelong natututo mula sa datos gamit ang probabilidad. Ang pangunahing pananaw ng libro ay Bayesian, kung saan hindi lamang isang nakapirming sagot ang mahalaga, kundi pati ang antas ng kawalang-katiyakan sa sagot na iyon. Mula sa pundasyon ng probability theory, tumatawid ito sa regression, classification, neural networks, kernel methods, graphical models, mixture models, at approximate inference. Layunin nitong pag-isahin ang maraming teknik sa ilalim ng iisang probabilistic na wika. Dahil dito, mahalaga ito sa mga nais umunawa kung bakit gumagana ang mga algorithm, hindi lamang kung paano sila patakbuhin sa isang dataset.