Lo que hacemos

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,

Ian

Follow us on Twitter: @h2oai

Próximos eventos (1)

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

Eventos anteriores (141)