The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture.
Ben Lorica is the Chief Data Scientist at O'Reilly Media, Inc. and is the Program Director of both the Strata Data Conference and the Artificial Intelligence Conference. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.
While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data.
“Human in the loop” software development will be a big part of the future.
The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy.
The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain.
An overview and framework, including tools that can be used to enable automation.
The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
Ben Lorica looks at the problems we’re facing as we collect and store data, particularly when our machine learning models require huge amounts of labeled data.
MLPerf is a new set of benchmarks compiled by a growing list of industry and academic contributors.
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
Ben Lorica and Roger Chen discuss the state of reinforcement learning and automation.
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.
We’re currently laying the foundation for future generations of AI applications, but we aren’t there yet.
The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
Our survey reveals how organizations are using tools, techniques, and training to apply AI through deep learning.
Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security.
The O’Reilly Data Show Podcast: Jesse Anderson and Paco Nathan on organizing data teams and next-generation messaging with Apache Pulsar.
The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning.