Technology

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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AI can make us Banking Masters or Morons

An iCub robot learns how to play from a child. Photograph: Dr Patricia Shaw/EPSRC/PA It’s hard to miss the fanfare – AI/Machine Learning is going to bring a huge transformation to the banking sector. But application is slow. The fit is uncomfortable. It’s become clear that to achieve the greatest results, there needs to be…

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AI in fintech: 7 trends for 2017

Seldon has been working at the intersection between machine learning and fintech, and was part of the Barclays Accelerator London ’16 cohort. This perspective has given me a chance to observe some nascent trends for AI and machine learning in fintech that will define this year: AI in Production – AI is only used by…

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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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Seldon Release General Prediction Endpoint

Until now, Seldon has been focused on providing an enterprise-grade open-source recommendation engine – i.e. to suggest articles, videos, products to people based on behavioural and contextual data. In version 0.93, a general prediction endpoint is now available to developers. This major new feature allows easy integration of classification and regression machine learning models into…

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Seldon Microservices API for External Algorithms

Seldon has released a new Microservices API that allows developers to build their own real-time predictive scoring components and utilize them from within the Seldon predictive engine. This makes it simple to test and develop new predictive algorithms while taking advantage of the A/B testing, optimization and caching layers of Seldon. Components can be added…

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