Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018.
How to find promising candidates for upskilling within your organization.
The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized.
A step-by-step guide to initialize the libraries, load the data, and train a tokenizer model using Spark-NLP and spaCy.
A step-by-step guide to building and running a natural language processing pipeline.
A comparison of the accuracy and performance of Spark-NLP vs. spaCy, and some use case recommendations.
A look at the new streaming SQL engine for Apache Kafka.
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
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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.
Decoding simple regex features to match complex text patterns.
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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