What we're about

We’re excited to bring you the latest happenings in AI, Machine Learning, Deep Learning, Data Science and Big Data.

Who are we? We’re H2O.ai ( https://www.h2o.ai/ ), creators of the world’s leading open-source machine learning platform, used by hundreds of thousands of data scientists and 18,000 organizations around the world.

Our goal is to congregate with data enthusiasts and discuss trending topics in the world of AI. We also regularly invite esteemed industry influencers and thought leaders who talk shop on all things data science.

Sound like a good time?

Interested in H2O or our automatic machine learning platform, H2O Driverless AI? Learn more here: https://www.h2o.ai/download/

Already a rainmaker (H2O power user) or have questions? Please visit our StackOverflow page. ( http://stackoverflow.com/questions/tagged/h2o )

If you’d like to speak at future meetups, co-promote your meetup or inquire about sponsorship opportunities, please reach out to ian@h2o.ai.

Read about our code of conduct here: https://www.h2o.ai/code-of-conduct/

Thank you for advancing the future of data science,


Follow us on Twitter: @h2oai

Upcoming events (2)

#LondonAI October Meetup

The Microsoft Reactor London

Dear Makers, We will return to Microsoft Reactor in October. Interested in giving a tech talk? Please let me know - [masked]. More details to follow soon. Talk 1: ML in healthcare data: practical considerations for a generalizable model by Fiona Grimson and Benjamin Bray (IQVIA) About Fiona and Benjamin: https://www.linkedin.com/in/fiona-grimson-0a5616112/ https://www.linkedin.com/in/ben-bray-a1380331/ Talk 2: Building generative models of symptomatic health data for autonomous deep space missions by Krittika D'Silva Krittika will speak about her work at NASA FDL in which she examined how AI can be used to support medical care in space. Future NASA deep space missions will require advanced medical capabilities, including continuous monitoring of astronaut vital signs to ensure optimal crew health. She will discuss how biosensor data collected from NASA analog missions can be used to train AI models to simulate various medical conditions that might affect astronauts. She will also discuss the future of AI and space medicine. About Krittika: https://www.linkedin.com/in/krittikadsilva/ Talk 3: TBC

Call for Speakers #LondonAI November Meetup @ Big Data LDN

Dear Makers, We will be hosting our November meetup in conjunction with Big Data LDN conference ( https://bigdataldn.com/) again this year. Please note that all members will need to register free via this link to obtain entry https://bigdataldn.com/register/ This will also give you access to the two days of Big Data LDN should you wish to attend. Interested in giving a tech talk, please let me know - [masked]. More details to follow soon.

Past events (31)

#LondonAI September Meetup: Financial Services Use Cases

Boston Consulting Group

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