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

Transcript

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

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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