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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…
Read ArticleThis 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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This post was originally published on the Ambassador API Gateway blog. Can you tell us about yourself and what your company does? I am Clive Cox, CTO of Seldon. Seldon’s focus is to help organisations successfully deploy machine learning solutions to production. We provide an open source product Seldon Core which provides a Kubernetes based…
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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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Let’s get something straight from the beginning: this is a fun post! The title is catchy, I’ll admit that, but there are no generalisations claims here. I’m not going to give you a complete formulation of machine learning in Dirac notation. This post is the story of how one can get inspired by Dirac notation…
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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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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….
Read ArticleAt 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…
Read ArticleUntil 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…
Read ArticleSeldon 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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