The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
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.
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.
Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products.
Why we're taking the AI Conference to Beijing.
The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots.
The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized.
The O’Reilly Data Show Podcast: Leo Meyerovich on building large-scale, interactive applications that enable visual investigations.
The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation.
RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning.
The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.
The sessions and training courses at Strata Data San Jose 2018 will focus on practical use cases of machine learning for data scientists, engineers, managers, and executives.
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
From methods to tools to ethics, Ben Lorica looks at what's in store for artificial intelligence.
The O’Reilly Data Show Podcast: Kris Hammond on business applications of AI technologies and educating future AI specialists.
AI, blockchain, payment regionalization, and other fintech trends to watch.
How new developments in algorithms, machine learning, analytics, infrastructure, data ethics, and culture will shape data in 2018.
The O’Reilly Data Show Podcast: Tim Kraska on why ML will change how we build core algorithms and data structures.