Machine Learning Trends in 2017 - Budapest Data Christmas - Dec 2017

Ce8e94cc306ba164175f693fb01aa8b0?s=47 szilard
December 19, 2017
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Machine Learning Trends in 2017 - Budapest Data Christmas - Dec 2017

Ce8e94cc306ba164175f693fb01aa8b0?s=128

szilard

December 19, 2017
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  1. Machine Learning Trends in 2017 Szilárd Pafka, PhD Chief Scientist,

    Epoch Budapest Data Christmas December 2017
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  3. Disclaimer: I am not representing my employer (Epoch) in this

    talk I cannot confirm nor deny if Epoch is using any of the methods, tools, results etc. mentioned in this talk
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  5. Source: Andrew Ng

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  20. 10x

  21. 10x

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  29. 1M: CPU cache effects

  30. (lightgbm 10M)

  31. 16 cores vs 1: 16 cores:

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  34. Aggregation 100M rows 1M groups Join 100M rows x 1M

    rows time [s] time [s]
  35. Aggregation 100M rows 1M groups Join 100M rows x 1M

    rows time [s] time [s]
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  41. me @confs / talks :: 2017