The O’Reilly Data Show Podcast: Leo Meyerovich on building large-scale, interactive applications that enable visual investigations.
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 O'Reilly 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.
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.
An overview of adoption, and suggestions to companies interested in AI technologies.
An overview of commercial and industrial applications of reinforcement learning.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap.
The O’Reilly Data Show Podcast: David Talby on a new NLP library for Spark, and why model development starts after a model gets deployed to production.
The O’Reilly Data Show Podcast: Rhea Liu on technology trends in China.
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models.
The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future.