Gaussian Processes mangrupakeun alat kuat pikeun learning unsupervised, sabab nyadiakeun kerangka nu fleksibel jeung probabilistic pikeun modél pola kompleks dina data. Di dieu aya gagasan konci learning unsupervised kalawan Gaussian Processes: 1. Gaussian Processes: Gaussian Processes mangrupakeun kumpulan variabel penting, sagala subset nu boga sebaran Gaussian. Aranjeunna dipaké pikeun mastikeun yén fungsi non-parameter, hartina maranéhna teu nganggap fungsi data unparameter. GPs boga fungsi fungsi dasar dasar dasar dasar dasar data. GPs bisa dipaké pikeun fungsi fungsi dasar dasar dasar dasar, fungsi dasar dasar dasar, fungsi dasar dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar, fungsi dasar,
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