Learn how to add big data to your organization's business processes.
A tutorial on how to use machine learning to build recommender systems.
The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future.
Learn about some of the common issues you will encounter when developing algorithms for a modern anomaly detection system.
A deep dive into Uber's engineering effort to optimize geospatial queries in Presto.
Probabilistic computation holds too much promise for it to be stifled by playing zero sum games with data.
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Watching the appeal and applications of machine intelligence expand.
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The adventures in deep learning and cheap hardware continue!
June Andrews talks about simple, cost-effective algorithmic computing at scale.
Working with uncertainty in real-world data.
How to build a class of RL agents using a TensorFlow notebook.
Mike Barlow examines the growth of sophisticated cloud-based AI and machine learning services for a growing market of developers and users in business and academia.
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“Data is having an impact on business models and profitability. It’s hard to find a non-trivial application that doesn’t use data in a significant manner.”— Ben Lorica, Director of Content Strategy for Data at O'Reilly Media