áru
(üres)
\nThe course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models.\n
tovább
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The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models.
\n leírás elrejtése- Kiadó: Springer Nature Switzerland AG
- Kód:
- Kiadás éve: 2021
- Nyelv: Angol
- Kötés: Kemény táblás
- Oldalak száma: 169
- Csomag szélessége: 24.3 cm
- Csomag magassága: 16 cm
- Csomag mélysége: 1.7 cm
Recenzió