The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts.In this episode of the Data S...
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting.In thi...
The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning.In this episode of the Data Show, I speak with Mich...
The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit.In this episode of the Data Show, I...
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.In this episode of the Data Show, I speak with Alex ...
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business.In this episode of the Data Show, I speak with Cassie Kozyrkov, ...
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.In this episode of the Data Show, I spoke with Roger...
The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure...
The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models.In this episode of the Data Show, I...
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data.In this epi...