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1 | | -# Seldon Server |
| 1 | +# Seldon Core |
2 | 2 |
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| 3 | +Seldon Core is a machine learning platform that helps your data science team deploy models into production. |
3 | 4 |
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4 | | -Seldon is an Open Predictive Platform that provides content recommendations and general predictive functionality. It runs within a [Kubernetes](http://kubernetes.io/) Cluster and can therefore be deployed anywhere Kubernetes can be deployed: on-premise or in cloud (e.g., [AWS](http://aws.amazon.com/), [Google Cloud Platform](https://cloud.google.com/), [Azure](https://azure.microsoft.com)). It can scale to the demands of large enterprise installations. |
| 5 | +It provides an open-source data science stack that runs within a [Kubernetes](http://kubernetes.io/) Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. AWS, Google Cloud Platform, Azure). |
| 6 | + |
| 7 | +Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and any other model-building tool — it even supports models build with commercial tools and services where the model is exportable. |
| 8 | + |
| 9 | +It includes an API with two key endpoints: |
| 10 | + |
| 11 | +1. **Predict** - Build and deploy supervised machine learning models created in any machine learning library or framework at scale using containers and microservices. |
| 12 | +2. **Recommend** - High-performance user activity and content based recommendation engine with various algorithms ready to run out of the box. |
| 13 | + |
| 14 | +Other features include: |
| 15 | + |
| 16 | +- Complex dynamic algorithm configuration and combination with no downtime: run A/B and Multivariate tests, cascade algorithms and create ensembles. |
| 17 | +- Command Line Interface (CLI) for configuring and managing Seldon Core. |
| 18 | +- Secure OAuth 2.0 REST and gRPC APIs to streamline integration with your data and application. |
| 19 | +- Grafana dashboard for real-time analytics built with Kafka Streams, Fluentd and InfluxDB. |
| 20 | + |
| 21 | +Seldon is used by some of the world's most innovative organisations — it's the perfect machine learning deployment platform for start-ups and can scale to meet the demands of large enterprises. |
5 | 22 |
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6 | 23 | ## Get Started |
7 | 24 |
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8 | | -To get started visit our [docs](http://docs.seldon.io) |
| 25 | +It takes a few minutes to install Seldon on a Kubernertes cluster. Visit our [install guide](http://docs.seldon.io/install.html) and read our [tech docs](http://docs.seldon.io). |
| 26 | + |
| 27 | +## Community |
| 28 | + |
| 29 | +* Join the [Seldon Users Group](https://groups.google.com/forum/#!forum/seldon-users). |
| 30 | +* [Register for our newsletter](http://eepurl.com/6X6n1) to be the first to receive updates about our product and events. |
| 31 | +* Follow [@seldon_io](https://twitter.com/seldon_io) on Twitter and like [our Facebook page](https://www.facebook.com/seldonhq/). |
| 32 | +* If you're in London, come meet us at [TensorFlow London](https://www.meetup.com/TensorFlow-London/) - an community of over 1200 data scientists that we co-organise. |
9 | 33 |
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10 | 34 | ## License |
11 | 35 | Seldon is available under [Apache Licence, Version 2.0](https://github.com/SeldonIO/seldon-server/blob/master/README.md) |
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