machinelearning

Outlier Detection with Seldon

Introduction Anomaly or outlier detection has many applications, ranging from preventing credit card fraud to detecting computer network intrusions or uncovering medical problems. It can also be used to flag observations in your machine learning pipeline that are different from the data used to train the algorithms. Seldon Core is a language and toolkit agnostic…

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Orchestrating Machine Learning Models on Kubernetes* with Seldon*, nGraph Library and Intel® Distribution of OpenVINO™Toolkit

This post was originally published by Intel Corporation on November 19, 2018. You can now run Intel’s machine learning model optimization tools using nGraph library and the Intel® Distribution of OpenVINO™ toolkit on Seldon Core*. In this article we discuss the challenges involved for organizations that want to put machine learning models into production and…

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The rapid evolution of open-source machine learning

AlphaGo wasn’t just a victory for artificial intelligence. When millions of people across the world tuned in to watch DeepMind’s machine beat the human Go world champion Lee Sedol, they also witnessed a historic victory for open-source. DeepMind used a scientific computing framework called Torch extensively in the development and execution of AlphaGo’s neural networks….

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Streamline your predictive pipeline

At Seldon, we’re on a mission to deliver the most powerful enterprise machine learning platform, which means you solve real-world problems faster. We’ve hit another milestone release with Seldon 0.97, which includes support for real-time feature transformations in our new predictive pipelines. We also share some secrets for advanced recommendation engine configuration. All of these…

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