Watch highlights covering data science, data engineering, data-driven business, and more. From Strata + Hadoop World in San Jose 2017.
How we created an illustrated guide to help you find your way through the data landscape.
The better prepared you are to utilize all the data in your data lake, the more likely you are to be successful.
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM.
Transform your basemaps using CARTO and PostGIS.
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
Watching the appeal and applications of machine intelligence expand.
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The adventures in deep learning and cheap hardware continue!
How to use the wordcount example as a starting point (and you thought you’d escape the wordcount example).
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.
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.
Adam Breindel shows you the modern best practices for Spark 2.1, using the latest Spark features, for high-performance analytics, processing, and modeling on large-scale data sets.
Katharine Jarmul will show you how to use Python libraries to speed up the data wrangling process and automate data cleaning, how to handle messy data, and how to write data unit tests that monitor data validity.
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