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The Kandha Guru Kavasam isn't well known in English. There doesn't appear to be a Wikipedia page. There is a beautiful rendering by the Soolamangalam sisters on YouTube thoughhttps://youtu.be/fO7MD2St1iU
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"It becomes a tempting thought to just keep data around. The data minimization principle changes that..."pic.twitter.com/Bbg9j2X5cA
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There is almost certainly going to be an explosion of regulation in machine learning
#opml19pic.twitter.com/TLINaCLlNo
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Sean Grullon from GSK giving a lowdown on the effect of regulation on ML in pharma
#opml19pic.twitter.com/ohlR6oR6Qv
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Kicking off our panel on data regulation and bias!
#opml19pic.twitter.com/ePleaLbj6D
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The panel on production ML at scale is just about to kick off!
#opml19pic.twitter.com/jeQ0UFZLe5
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Preparation pipeline, analysis pipeline, inferring pipeline, training pipeline chain into each otherpic.twitter.com/OS8zQ9e2z1
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Use an ellipse to the horizontal plain to compute coordinatespic.twitter.com/XeMoRaLlrB
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Only a tiny fraction of the code in a ML system is actually used for learning. There are a lot of other things a production ML codebase must do
#opml19pic.twitter.com/8dKDaNDdca
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Need to calculate latitude and longitude of the pinpointed Hogweedpic.twitter.com/d6RZh6jLSs
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Create a user friendly labeling tool for biologists to provide labelspic.twitter.com/WpgQfS2hNB
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Use TensorFlow on a single GPU node for training. Use TensorFlow in Hadoop/Spark cluster for inferencepic.twitter.com/liBp4tcbaB
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The customer is a local government in Denmark. Have to find local Hogweed for eradication. Drones have to fly 2000 sq. km to detect Hogweed. Terabytes of datapic.twitter.com/ayGH9KgUyD
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Hogweed is a toxic plant. The goal is to automate the detection and eradication of this toxic plant with MLpic.twitter.com/HzhDy5wVGH
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Distributed machine learning for giant hogweed eradication
#opml19pic.twitter.com/eK3AGZ7DbV
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Čini se da učitavanje traje već neko vrijeme.
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