How Project Jupyter got here and where we are headed.
How to use the wordcount example as a starting point (and you thought you’d escape the wordcount example).
Sara M. Watson from Digital Asia Hub discusses the state of personalization and how it can become more useful for consumers.
Mark Grover and Ted Malaska offer an overview of projects for streaming applications, including Kafka, Flume, and Spark Streaming, and discuss the architectural schemas available, such as Lambda and Kappa.
The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM.
How to map out a plan for finding value in data.
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
Watching the appeal and applications of machine intelligence expand.
The adventures in deep learning and cheap hardware continue!
Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.
An efficient, fast, and repeatable selection method that works on very large data sets.
Building and training your first TensorFlow graph from the ground up.
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.
Learn how to ship, parse, store, and analyze logs.
Get intensive, hands-on training on current critical data technology topics, led by instructors from O'Reilly's unparalleled network of tech innovators and expert practitioners.
Jerry Overton walks you through how to build and execute a data strategy, how to write algorithms, and how to experiment on an enterprise scale.
Jesse Anderson will show you how to recognize the opportunities, avoid the problems, and get the most value from your data.
Oriole Online Tutorial
San Jose, CA
Make Data Work
“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