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Machine Learning Casual Talksスライドまとめ

Last updated at Posted at 2018-11-24

Machine Learning Casual Talks(MLCT)というものあることを知り、参加できなかったことを悔しく思ったので、自分用にと今までの発表スライドをまとめてみました。

Machine Learning Casual Talks(MLCT)とは

「機械学習を用いたシステムを実運用している話を中心に、実践的な機械学習に関して気軽に話せる会」とのことです。

#4 2015/12/15

yoshifumi_seki
[Gunosy分析チームとA/Bテスト運用]
(https://speakerdeck.com/ysekky/ab-testing-in-gusnoy)

chezou
[MLCT事始め]
(https://www.slideshare.net/chezou/why-i-started-machine-learning-casual-talks-mlct?ref=https://mlct.connpass.com/event/22192/presentation/)

tamiya_naoto
[ビッグデータチームを発足するにあたって気をつけておきたいn個のこと]
(https://www.slideshare.net/naototamiya9/machine-learning-casual-talks-4-n?ref=https://mlct.connpass.com/event/22192/presentation/)

shakezo
プロトタイプで終わらせない死の谷を超える機械学習プロジェクトの進め方

#5 2018/07/13

Shunya Ueta
[How to break the machine learning system barrier ?]
(https://www.slideshare.net/shunyaueta/how-to-break-the-machine-learning-system-barrier)

Hirofumi Nakagawa
[メルカリのML基盤]
(https://speakerdeck.com/hnakagawa/mlct)

ynqa
[Tensorflow Serving]
(https://speakerdeck.com/ynqa/tensorflow-serving)

soonraah
[Pipeline Jungles とたたかう話]
(https://speakerdeck.com/soonraah/mlct-number-5-pipeline-jungles-totatakauhua)

hagino3000
[ネット広告配信サービスにおけるMLシステムの実装と運用]
(https://speakerdeck.com/hagino3000/netutoguang-gao-pei-xin-sabisuniokerumlsisutemufalseshi-zhuang-toyun-yong)

Katib
[KubeFlow/Katib ハイパーパラメータチューニング]
(https://www.slideshare.net/Oshima0x3fd/katib?ref=https://mlct.connpass.com/event/88797/presentation/)

#6 2018/09/25

kosuke-kitahara
[タウンワークにおける機械学習API@GKEの導入]
(https://speakerdeck.com/kokitahara/taunwakuniokeruji-jie-xue-xi-api-at-gkefalsedao-ru)

Shotaro Tanaka
[リブセンスにおける 機械学習システムの信頼性エンジニアリング]
(https://speakerdeck.com/livesense/ribusensuniokeru-ji-jie-xue-xi-sisutemufalsexin-lai-xing-enziniaringu)

Agata Naomichi
[ユーザフィードバックと機械学習]
(https://speakerdeck.com/agatan/machine-learning-and-feedback)

yu-ya4
[BigQuery ML を使ってみた話]
(https://speakerdeck.com/yuya4/bigquery-ml-woshi-tutemitahua)

#7 2018/11/20

Yukiyan
[機械学習基盤を一人で構築するということ]
(https://speakerdeck.com/yukiyan/hitori-ml-team)

MichihisaHiratsuka
[Jupyter だけで機械学習を実サービス展開できる基盤]
(https://www.slideshare.net/RecruitLifestyle/jupyter-123579609)

Shinichi Takayanagi
[The Road to Machine Learning Engineer from Data Scientist]
(https://speakerdeck.com/stakaya/the-road-to-machine-learning-engineer-from-data-scientist)

最後に

第8回は絶対参加します!

追記

第8回参加してきました。

#8 2019/01/29

m_nishiba
[エムスリーにおける機械学習活用事例と開発の効率化]
(https://speakerdeck.com/nishiba/emusuriniokeru-ji-jie-xue-xi-huo-yong-shi-li-tokai-fa-falsexiao-lu-hua)

Nasuka Sumino
[BEDOREにおける対話エンジンの開発と運用]
(https://www.slideshare.net/nasukasumino/bedore-129551899)

Shunsuke Kawai
[ヤフオク!における分散深層学習]
(https://speakerdeck.com/vaaaaanquish/machine-learning-casual-talks-number-8-lt)

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