Bharath Ramsundar

@rbhar90

Thinking and writing. Prev: Co-founder and CTO at . Creator of . Author . Stanford CS PhD w/ .

Vrijeme pridruživanja: lipanj 2015.

Medijski sadržaj

  1. 13. ruj 2019.

    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 though

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  2. 20. svi 2019.

    "It becomes a tempting thought to just keep data around. The data minimization principle changes that..."

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  3. 20. svi 2019.
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  4. 20. svi 2019.

    There is almost certainly going to be an explosion of regulation in machine learning

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  5. 20. svi 2019.

    Sean Grullon from GSK giving a lowdown on the effect of regulation on ML in pharma

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  6. 20. svi 2019.

    Kicking off our panel on data regulation and bias!

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  7. 20. svi 2019.

    The panel on production ML at scale is just about to kick off!

  8. 20. svi 2019.

    Integrating Spark and TensorFlow

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  9. 20. svi 2019.

    Four types of approaches to distributed ML

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  10. 20. svi 2019.

    Preparation pipeline, analysis pipeline, inferring pipeline, training pipeline chain into each other

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  11. 20. svi 2019.

    Use an ellipse to the horizontal plain to compute coordinates

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  12. 20. svi 2019.

    Create a data pipeline centered around the data lake

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  13. 20. svi 2019.

    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

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  14. 20. svi 2019.

    Need to calculate latitude and longitude of the pinpointed Hogweed

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  15. 20. svi 2019.

    Create a user friendly labeling tool for biologists to provide labels

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  16. 20. svi 2019.

    Use TensorFlow on a single GPU node for training. Use TensorFlow in Hadoop/Spark cluster for inference

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  17. 20. svi 2019.

    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 data

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  18. 20. svi 2019.

    Hogweed is a toxic plant. The goal is to automate the detection and eradication of this toxic plant with ML

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  19. 20. svi 2019.

    Distributed machine learning for giant hogweed eradication

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  20. 20. svi 2019.

    DeepCPU used widely in production

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