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O'Reilly Data Show Podcast

O'Reilly Data Show Podcast

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The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.
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Machine learning for operational analytics and business intelligence

Machine learning for operational analytics and business intelligence

Oct 10, 2019·

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 analytics. Bailis is also an assistant professor of computer science...

Machine learning and analytics for time series data

Machine learning and analytics for time series data

Sep 26, 2019·

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 conversation stemmed from a recent online panel discussion we did...

Understanding deep neural networks

Understanding deep neural networks

Sep 12, 2019·

In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has...

Becoming a machine learning practitioner

Becoming a machine learning practitioner

Aug 29, 2019·

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 a full stack web developer, Williams became intrigued by machine...

Labeling, transforming, and structuring training data sets for machine learning

Labeling, transforming, and structuring training data sets for machine learning

Aug 15, 2019·

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 faculty position at the University of Washington and is currently...

Make data science more useful

Make data science more useful

Aug 1, 2019·

In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes “decision intelligence” as an interdisciplinary field concerned with all...

Acquiring and sharing high-quality data

Acquiring and sharing high-quality data

Jul 18, 2019·

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 of data networks and data exchanges. Chen has also served as...

Tools for machine learning development

Tools for machine learning development

Jul 3, 2019·

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 Podcast, where he was interviewed by Jeff Meyerson. Their conversation...

Enabling end-to-end machine learning pipelines in real-world applications

Enabling end-to-end machine learning pipelines in real-world applications

Jun 20, 2019·

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 subsequently became a Spark committer and PMC member. Most recently...

Bringing scalable real-time analytics to the enterprise

Bringing scalable real-time analytics to the enterprise

Jun 9, 2019·

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 building solutions for interactive data science and live...

Applications of data science and machine learning in financial services

Applications of data science and machine learning in financial services

May 23, 2019·

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. Chong has extensive experience using analytics and machine learning in...

Real-time entity resolution made accessible

Real-time entity resolution made accessible

May 9, 2019·

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 resolution technologies broadly accessible. He was previously a fellow...

Why companies are in need of data lineage solutions

Why companies are in need of data lineage solutions

Apr 25, 2019·

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 expertise to personalize shopping. As companies integrate machine...

What data scientists and data engineers can do with current generation serverless technologies

What data scientists and data engineers can do with current generation serverless technologies

Apr 11, 2019·

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 and enterprise applications. This conversation took place shortly after...

It’s time for data scientists to collaborate with researchers in other disciplines

It’s time for data scientists to collaborate with researchers in other disciplines

Mar 28, 2019·

In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive...

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