O'Reilly Data Show Podcast
A podcast by O'Reilly Media
60 Episodes
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In the age of AI, fundamental value resides in data
Published: 1/3/2019 -
Trends in data, machine learning, and AI
Published: 12/20/2018 -
Tools for generating deep neural networks with efficient network architectures
Published: 12/6/2018 -
Building tools for enterprise data science
Published: 11/21/2018 -
Lessons learned while helping enterprises adopt machine learning
Published: 11/8/2018 -
Machine learning on encrypted data
Published: 10/25/2018 -
How social science research can inform the design of AI systems
Published: 10/11/2018 -
Why it’s hard to design fair machine learning models
Published: 9/27/2018 -
Using machine learning to improve dialog flow in conversational applications
Published: 9/13/2018 -
Building accessible tools for large-scale computation and machine learning
Published: 8/30/2018 -
Simplifying machine learning lifecycle management
Published: 8/16/2018 -
How privacy-preserving techniques can lead to more robust machine learning models
Published: 8/2/2018 -
Specialized hardware for deep learning will unleash innovation
Published: 7/19/2018 -
Data regulations and privacy discussions are still in the early stages
Published: 7/5/2018 -
Managing risk in machine learning models
Published: 6/21/2018 -
The real value of data requires a holistic view of the end-to-end data pipeline
Published: 6/7/2018 -
The evolution of data science, data engineering, and AI
Published: 5/24/2018 -
Companies in China are moving quickly to embrace AI technologies
Published: 5/10/2018 -
Teaching and implementing data science and AI in the enterprise
Published: 4/26/2018 -
The importance of transparency and user control in machine learning
Published: 4/12/2018
The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.