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Better than Deep Learning: Gradient Boosting Machines (GBM) - 2019 edition Szilard Pafka, PhD Chief Scientist, Epoch (USA) Budapest R & Data Science Meetups June 2019

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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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Source: Andrew Ng

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Source: Andrew Ng

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Source: Andrew Ng

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Source: https://twitter.com/iamdevloper/

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...

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http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf

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http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf

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Source: Hastie etal, ESL 2ed

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Source: Hastie etal, ESL 2ed

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Source: Hastie etal, ESL 2ed

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Source: Hastie etal, ESL 2ed

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http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf

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http://www.argmin.net/2016/06/20/hypertuning/

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CPU 1

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*

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no-one is using this crap

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(2018)

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(2018)

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

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More:

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Info and apply here: bit.ly/gbm-bp19

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