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)

H2O World 2019 NYC

New York Hilton Midtown

Hello Makers! H2O World is back in the Big Apple! H2O World New York 2019 is an interactive community event featuring advancements in AI, machine learning and explainable AI. Thousands of attendees from around the world watch sessions from the makers behind H2O.ai, leading academics, and our customer community. Attendees discover the strategies and insights they need to accelerate their AI journey. The conference will feature talks and technical sessions from all walks of our community: Makers, Industry Leaders, Data Scientists, Kaggle Grandmasters, and machine learning enthusiasts alike. We have a number of panels to fill your data science appetite including Diversity and Inclusion in Tech, and Meet the Kaggle Grandmasters. The day culminates with a reception including our infamous H2O themed cocktails. Join us to connect with the community and learn how to harness the full value of AI, machine learning, explainable AI, deep learning and data science from industry-recognized speakers. Click here to register for the Livestream if you cannot make it: https://www.h2o.ai/h2oworldny-livestream-reg/

H2O Driverless AI Acceleration with Intel DAAL

***** PLEASE NOTE: Please grab your free spot here: https://www.eventbrite.com/e/h2o-driverless-ai-acceleration-with-intel-daal-tickets-76345833443 Your RSVP on meetup will not count towards your spot****** ---------------------------------------------------------------------------------------------------- Hello Makers! Join us this evening as we delve into an introduction to Intel DAAL and how the Make-Your-Own-Recipe capability extends H2O Driverless AI. Following is a brief agenda for the evening: 6:00 - 6:30 PM: Doors open for networking and pizza 6:30 - 6:45 PM: Rafael's Intro to Custom Recipes 6:45 - 7:30 PM: Preethi's Talk 7:30 PM - 8:00 PM: Q&A and Networking ---------------------------------------------------------------------------------------------------- Description: One of the critical segments in AI is Machine Learning for its reliable solution in automating the learning process based on past data. The AI ecosystem has rapidly grown within the past few years, enabling Data Scientists with various ease-of-use Machine Learning Python-powered platforms. However, one of the challenges in using such Python-based solutions is its performance bottlenecks and lack of out-of-box optimizations for modern CPUs. To enable data science practitioners in classical Machine Learning applications, Intel provides Intel Data Analytics Acceleration Library (Intel® DAAL), which helps to obtain maximum performance for a wide range of CPU-based systems. Recently, Intel collaborated with H2O.ai to introduce above Intel® DAAL optimizations into H2O Driverless AI via custom recipe files that deliver high performance via a simple extension of the core product. In this presentation, we will go over the core concepts of Intel® DAAL, and show how to build the enormously popular Gradient Booting Tree and Random Forest models employing h2o-Intel DAAL recipes on AWS cloud. ---------------------------------------------------------------------------------------------------- Rafael's Bio: Rafael Coss is a Community and Partner Maker at H2O.ai. Prior to joining H2O.ai, he was technical marketing and community Director and a developer advocate at Hortonworks. He was also the DataWorks Summit Program Co-Chair for the past 3 years. Prior to Hortonworks he was a Senior Solution Architect and Manager of IBM’s WW Big Data Enablement team. At IBM he was responsible for the technical product enablement for BigInsights and Streams. Preethi's Bio: Preethi Venkatesh is a Technical Consulting Engineering at Intel for AI products. Preethi is responsible for driving customer engagements on Machine and Deep Learning software adoption for Intel’s high-end processors, mainly Intel Xeon. Preethi primarily works on enabling Enterprises and Cloud Service Providers with Intel AI software

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