O'Reilly Data Show Podcast
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O'Reilly Data Show Podcast
The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.
Recent Episodes
15 episodesMachine learning for operational analytics and business intelligence
In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational...
Machine learning and analytics for time series data
In this episode of the Data Show, I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This co...
Understanding deep neural networks
In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department...
Becoming a machine learning practitioner
In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As...
Labeling, transforming, and structuring training data sets for machine learning
In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a f...
Make data science more useful
In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes “decisi...
Acquiring and sharing high-quality data
In this episode of the Data Show, I spoke with Roger Chen, co-founder and CEO of Computable Labs, a startup focused on building tools for the creation...
Tools for machine learning development
In this week’s episode of the Data Show, we’re featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Pod...
Enabling end-to-end machine learning pipelines in real-world applications
In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he...
Bringing scalable real-time analytics to the enterprise
In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Product) of Rockset, a startup focused on...
Applications of data science and machine learning in financial services
In this episode of the Data Show, I spoke with Jike Chong, chief data scientist at Acorns, a startup focused on building tools for micro-investing. Ch...
Real-time entity resolution made accessible
In this episode of the Data Show, I spoke with Jeff Jonas, CEO, founder and chief scientist of Senzing, a startup focused on making real-time entity r...
Why companies are in need of data lineage solutions
In this episode of the Data Show, I spoke with Neelesh Salian, software engineer at Stitch Fix, a company that combines machine learning and human exp...
What data scientists and data engineers can do with current generation serverless technologies
In this episode of the Data Show, I spoke with Avner Braverman, co-founder and CEO of Binaris, a startup that aims to bring serverless to web-scale an...
It’s time for data scientists to collaborate with researchers in other disciplines
In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi wor...