Tag Archives: Amazon Machine Learning

Forrester’s 2018 PAML “Waves”

Forrester just published two “Wave” reports for predictive analytics and machine learning. The first, covering “multi-modal” solutions, is available here for free. A second report, covering notebook-based solutions, is available here (registration required.) Forrester plans to publish a third report, covering automated machine learning vendors, in 2019. Kudos to Forrester for understanding the diversity of the data science tools market.

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How to Steal a Predictive Model

In the Proceedings of the 25th USENIX Security Symposium, Florian Tramer et. al. describe how to “steal” machine learning models via Prediction APIs. This finding won’t surprise anyone in the business, but Andy Greenberg at Wired and Thomas Claburn at The Register express their amazement. Here’s how you “steal” a model: — The prediction API tells you what variables the model uses; the

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Big Analytics Roundup (August 8, 2016)

So, Apple acquires Turi for $200 million. Hopefully, Apple did not pay for brand equity. Bridget Botelho argues that businesses must either disrupt or be disrupted, and outlines the role of machine learning. Someone should write a book about that. Conference Announcements — Flink Forward announces the schedule for its second annual event, to be held September 12-14 in Berlin. —

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Big Analytics Roundup (June 8, 2015)

With Spark Summit 2015 coming up in San Francisco next week, expect lots of announcements in the coming week from vendors seeking to catch the wave. In HBR, Narrative Sciences CEO Stuart Frankel argues that the companies driving big salaries for data scientists are stupid.  Okay, he doesn’t actually say they’re stupid, but clearly thinks that data scientists aren’t worth the

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