Category: Data Science
-
How social science research can inform the design of AI systems
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems. In this episode of the Data Show, I spoke with Jacob Ward,…
-
Why it’s hard to design fair machine learning models
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show,…
-
Building accessible tools for large-scale computation and machine learning
[A version of this post appears on the O’Reilly Radar.] In this episode of the Data Show, I spoke with Eric Jonas, a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated…
-
How privacy-preserving techniques can lead to more robust machine learning models
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In this episode of the Data Show,…
-
Data collection and data markets in the age of privacy and machine learning
While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools focused on data. In this post I share slides and notes from a keynote I…
-
Data regulations and privacy discussions are still in the early stages
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy. In this episode of the Data Show, I spoke with Aurélie Pols of Mind…
-
Managing risk in machine learning models
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain. In this episode of the Data…
-
The real value of data requires a holistic view of the end-to-end data pipeline
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications. In this episode of the Data Show, I…
-
The evolution of data science, data engineering, and AI
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Showmarks our 100th episode. This podcast stemmed out…
-
Companies in China are moving quickly to embrace AI technologies
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China. In this episode of the Data Show, I spoke…