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Insights From the New 2020 Gartner Magic Quadrant For Cloud AI Developer Services
by Erika Kamholz February 26, 2020 AutoML Cloud Explainable AI Gartner H2O H2O Driverless AI Machine Learning Machine Learning Interpretability NLP

We are excited to be named a Visionary in the new Gartner Magic Quadrant for Cloud AI Developer Services (Feb 2020), and have been recognized for both our completeness of vision and ability to execute in the emerging market for cloud-hosted artificial intelligence (AI) services for application developers. This is the second Gartner MQ that […]

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AI & ML Platforms: My Fresh Look at H2O.ai Technology
by Erika Kamholz February 25, 2020 AutoML Beginners Business Cloud Community Data Science Explainable AI Guest Posts H2O H2O Driverless AI Machine Learning NLP Open Source Recommendations Sparkling Water

2020: A new year, a new decade, and with that, I’m taking a new and deeper look at the technology H2O.ai offers for building AI and machine learning systems. I’ve been interested in H2O.ai since its early days as a company (it was 0xdata back then) in 2014. My involvement had been only peripheral, but […]

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Key Takeaways from the 2020 Gartner Magic Quadrant for Data Science and Machine Learning
by Erika Kamholz February 17, 2020 AutoML Data Science Explainable AI Gartner H2O H2O Driverless AI Machine Learning Technical

We are named a Visionary in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms (Feb 2020).  We have been positioned furthest to the right for completeness of vision among all the vendors evaluated in the quadrant. So let’s walk you through the key strengths of our machine learning platforms. Automatic Machine Learning […]

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Grandmaster Series: How a Passion for Numbers Turned This Mechanical Engineer into a Kaggle Grandmaster
by Erika Kamholz January 23, 2020 AutoML Community Company Data Science H2O Driverless AI Kaggle Makers NLP

In conversation with Sudalai Rajkumar: A Kaggle Double Grandmaster and a Data Scientist at H2O.ai It is rightly said that one should never seek praise. Instead, let the effort speak for itself. One of the essential traits of successful people is to never brag about their success but instead keep learning along the way. In […]

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Scalable AutoML in H2O
by Bruna Smith November 27, 2019 AutoML H2O World Machine Learning Technical

Note: I’m grateful to Dr. Erin LeDell for the suggestions, corrections with the writeup. All of the images used here are from the talks’ slides. Erin Ledell’s talk was aimed at AutoML: Automated Machine Learning, broadly speaking, followed by an overview of H2O’s Open Source Project and the library. H2O AutoML provides an easy-to-use interface that automates […]

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A Deep Dive into H2O’s AutoML
by Bruna Smith October 16, 2019 AutoML H2O Technical

The demand for machine learning systems has soared over the past few years. This is majorly due to the success of Machine Learning techniques in a wide range of applications. AutoML is fundamentally changing the face of ML-based solutions today by enabling people from diverse backgrounds to use machine learning models to address complex scenarios. […]

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Make your own AI — Add Your Game to Auto-ML Models
by Bruna Smith October 15, 2019 AutoML H2O Driverless AI Machine Learning Technical

When Features and Algorithms compete, your Business Use Case(s) wins! H2O Driverless AI is an Automatic Feature Engineering/Machine Learning platform to build AI/ML models on tabular data. Driverless AI can build supervised learning models for Time Series forecasts, Regression, Classification, etc. It supports a myriad of built-in feature engineering transformers to work with numeric, categorical, […]

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Mitigating Bias in AI/ML Models with Disparate Impact Analysis
by Bruna Smith August 2, 2019 AutoML H2O Driverless AI Machine Learning Interpretability

Everyone understands that the biggest plus of using AI/ML models is a better automation of day-to-day business decisions, personalized customer service, enhanced user experience, waste elimination, better ROI, etc. The common question that comes up often though is — How can we be sure that the AI/ML decisions are free from bias/discrimination and fair to […]

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Custom Machine Learning Recipes: The ingredients for success
by Bruna Smith July 23, 2019 AutoML Data Science H2O Driverless AI Machine Learning

Last updated: 07/23/19 Machine learning is akin to cooking in several ways. A perfect dish originates from a tried-and-tested recipe, has the right combination of ingredients, and is baked at just the right temperature. Successful AI solutions work on the same principle. One needs fresh and right quality ingredients in the form of data, a […]

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Toward AutoML for Regulated Industry with H2O Driverless AI
by Patrick Moran July 8, 2019 AutoML Data Science Explainable AI H2O Driverless AI Machine Learning Interpretability

Predictive models in financial services must comply with a complex regime of regulations including the Equal Credit Opportunity Act (ECOA), the Fair Credit Reporting Act (FCRA), and the Federal Reserve’s S.R. 11-7 Guidance on Model Risk Management. Among many other requirements, these and other applicable regulations stipulate predictive models must be interpretable, exhibit minimal disparate […]

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