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[nocheck] README visible links for communication channels #15874

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Oct 26, 2023
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[nocheck] README visible links for communication channels #15874

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6 changes: 5 additions & 1 deletion README.md
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# H2O

[![Join the chat at https://gitter.im/h2oai/h2o-3](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/h2oai/h2o-3?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
For any question not answered in this file or in [H2O-3 Documentation](https://docs.h2o.ai/h2o/latest-stable/h2o-docs), please use:

[![Ask on GitHub](https://img.shields.io/github/discussions/h2oai/h2o-3.svg?logo=github&label=Discussions%20Q%26A&color=FFE600)](https://github.com/h2oai/h2o-3/discussions/categories/q-a)
[![Ask on StackOverflow](https://img.shields.io/stackexchange/stackoverflow/t/h2o?logo=stackoverflow&label=H2O%20on%20StackOverflow&color=f7a664)](http://stackoverflow.com/questions/tagged/h2o)
[![Ask on Gitter](https://img.shields.io/gitter/room/h2oai/h2o-3?logo=gitter&logoColor=red&label=H2O%20chatroom&color=b5b5b5)](https://gitter.im/h2oai/h2o-3?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O provides implementations of many popular [algorithms](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science.html) such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks, Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm ([H2O AutoML](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html)).

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