Tag: data show
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Machine learning for operational analytics and business intelligence
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 Show, I speak with Peter Bailis, founder and CEO of Sisu, a…
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Machine learning and analytics for time series data
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting. In this episode of the Data Show, I speak with Arun Kejariwalof Facebook and Ira Cohenof…
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Understanding deep neural networks
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 Michael Mahoney, a member of RISELab, the International Computer Science Institute,…
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Becoming a machine learning practitioner
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 speak with Kesha Williams, technical instructor at A Cloud Guru,…
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Labeling, transforming, and structuring training data sets for machine learning
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 Ratner, project lead for Stanford’s Snorkel open source project;…
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Make data science more useful
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, technical director and chief decision scientist at Google Cloud. She…
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Acquiring and sharing high-quality data
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 Chen, co-founder and CEO of Computable Labs, a startup…
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Tools for machine learning development
The O’Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. By Jenn Webb. In this week’s episode of the Data Show, we’re…
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Enabling end-to-end machine learning pipelines in real-world applications
The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and…
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Bringing scalable real-time analytics to the enterprise
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and…