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Company Overview of H2O.ai
H2O.ai develops an open source parallel processing prediction engine for machine learning and predictive analytics on big data. It offers H2O, an open source predictive analytics platform for data scientists, application developers, and business analysts who need in-memory machine learning for smarter applications. The company also provides marketing mix modeling, risk and fraud analysis, advertising technology, and customer intelligence solutions. H2O.ai was formerly known as 0xdata, Inc. and changed its name to H2O.ai in November 2014. The company was founded in 2011 and is based in Mountain View, California.
1185 Terra Bella Avenue
Mountain View, CA 94043
Founded in 2011
Key Executives for H2O.ai
Co-Founder and Chief Executive Officer
Co-Founder and Chief Technology Officer
Head of Product & Data Science
Director of Customer Experience
Compensation as of Fiscal Year 2015.
H2O.ai Key Developments
H2O.ai Showcases Power of Deep Learning and GBM on Spark with Sparkling Water
Jun 16 15
H2O.ai unveiled a suite of new Deep Learning and Gradient Boosted Machine (GBM) applications built on-top of the company’s Sparkling Water software. Combining the powerful data munging capabilities of Spark, with the speed and flexibility of Sparkling Water, the new apps provide real-world use cases for spam detection, police dispatch and job boards that have massive amounts of historical data. Sparkling Water gives Apache Spark developers greater flexibility to create impressive deep learning and GBM applications for a wide variety of industries. Some examples include: CRIME PREDICTION WITH DEEP LEARNING, ASK CRAIG, HAM OR SPAM, and UNLOCKING BIOMARKERS.
H2O.ai Announces New Python API for Sparkling Water
Feb 12 15
H2O.ai announced the availability of the company’s Sparkling Water for Python developers. Through the new API, application developers are now able to harness the power of data science with H2O’s in-memory machine learning and deep learning algorithms to build intelligent applications. For many developers, implementing robust data science methodologies is difficult without an in-house data scientist to develop algorithms to test and train models. Engineers need out of the box power tools to leverage machine learning and deep learning – to build smartness into their business applications. Sparkling Water for Python unifies and extends audience for scalable machine learning. The Python API gives application programmers the tools to rapidly utilize the fast scalable machine learning capabilities within Sparkling Water. Along with the release of the API, Sparkling Water has been updated to include: Native iPython Notebook support for single UI utilization Flow – an augmented iPython Notebook style interactive web interface for CoffeeScript, R and Scala users. Accelerating Python interactive sessions with Sparkling Water, with Spark driving SQL queries - Tighter and transparent integration with H2O's Sparkling Water package so that Spark and Python developers can utilize the ML algorithms in H2O - Feature engineering, Data Munging and math expressions at scale & speed.
H2O.ai Launches Artificial Intelligence Developer Program
Feb 12 15
H2O.ai unveiled a new artificial intelligence (AI) developer program designed to empower engineers with the tools to implement AI and Machine Learning and make their apps smarter. Apps.h2o.ai is designed to support application developers via events, networking opportunities, and a new, dedicated website comprising developer kits and technical specs, news, and product spotlights. These resources will enable developers to sharpen their Machine Learning proficiency and accelerate the deployment of apps with the power and convenience of AI to the lives of consumers and businesses worldwide.
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