Tag Archives: H2O.ai

Notes on the Forrester “Wave”

Forrester recently published the Wave™ for Predictive Analytics And Machine Learning Solutions. You can purchase a copy from Forrester for $2,495, or get a free copy here. When Forrester last delivered this analysis in 2015, they called it the Wave™ for Big Data Predictive Analytics Solutions. So, I guess that Big Data is “out” and machine learning is “in.” The chart below shows the

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The Year in Machine Learning (Part Four)

This is the fourth installment in a four-part review of 2016 in machine learning and deep learning. — Part One covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. — Part Two surveyed significant developments in Open Source machine learning projects, such as R, Python, Spark, Flink,

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H2O.ai Releases Steam

With minimal fanfare, H2O.ai releases the Steam AI engine, which it describes as “…an end-to-end platform that streamlines the entire process of building and deploying smart applications.”  Overall, the software looks like a reasonable product extension for data science teams committed to H2O for machine learning. H2O.ai’s product strategy for Steam has evolved over time; as late as mid-August, the

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Big Analytics Roundup (September 26, 2016)

Note to readers: Recently, I’ve noticed that news about events that occur on Tuesdays seems stale by the time I publish on Monday. Beginning this week, I’m shifting to a new publication model, posting analysis of events as they happen instead of a weekly roundup. You could say I’m switching from batch updates to real-time updates, which should please Nathan Marz.

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