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O'Reilly Data Show Podcast

A podcast by: O'Reilly Media

The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.

Our American listeners can also listen to O'Reilly Data Show Podcast at our American site

60 Episodes

Machine learning for operational analytics and business intelligence
Published 2019-10-10

Machine learning and analytics for time series data
Published 2019-09-26
Understanding deep neural networks
Published 2019-09-12
Becoming a machine learning practitioner
Published 2019-08-29
Labeling, transforming, and structuring training data sets for machine learning
Published 2019-08-15
Make data science more useful
Published 2019-08-01
Acquiring and sharing high-quality data
Published 2019-07-18
Tools for machine learning development
Published 2019-07-03
Enabling end-to-end machine learning pipelines in real-world applications
Published 2019-06-20
Bringing scalable real-time analytics to the enterprise
Published 2019-06-09
Applications of data science and machine learning in financial services
Published 2019-05-23
Real-time entity resolution made accessible
Published 2019-05-09
Why companies are in need of data lineage solutions
Published 2019-04-25
What data scientists and data engineers can do with current generation serverless technologies
Published 2019-04-11
It’s time for data scientists to collaborate with researchers in other disciplines
Published 2019-03-28
Algorithms are shaping our lives—here’s how we wrest back control
Published 2019-03-14
Why your attention is like a piece of contested territory
Published 2019-02-28
The technical, societal, and cultural challenges that come with the rise of fake media
Published 2019-02-14
Using machine learning and analytics to attract and retain employees
Published 2019-01-31
How machine learning impacts information security
Published 2019-01-17

The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.

60 Episodes

Machine learning for operational analytics and business intelligence

Machine learning and analytics for time series data

Understanding deep neural networks

Becoming a machine learning practitioner

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

Make data science more useful

Acquiring and sharing high-quality data

Tools for machine learning development

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

Bringing scalable real-time analytics to the enterprise

Applications of data science and machine learning in financial services

Real-time entity resolution made accessible

Why companies are in need of data lineage solutions

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

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

Algorithms are shaping our lives—here’s how we wrest back control

Why your attention is like a piece of contested territory

The technical, societal, and cultural challenges that come with the rise of fake media

Using machine learning and analytics to attract and retain employees

How machine learning impacts information security