))
Building Fast and Reliable Machine Learning Systems with Yian Ma
Manage episode 427364362 series 3388008
Contenuto fornito da UCTV. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da UCTV o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]
…
continue reading
200 episodi
Condividi
