horihorio
101
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Personal Information
Organização/Local de trabalho
Tokyo Japan
Cargo
Quantitative Analyst
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Consulting / Advisory
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Ver mais
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事業の進展とデータマネジメント体制の進歩(+プレトタイプの話)
Tokoroten Nakayama
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このIRのグラフがすごい!上場企業2021
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最近のディープラーニングのトレンド紹介_20200925
小川 雄太郎
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Há 3 anos
機械学習の精度と売上の関係
Tokoroten Nakayama
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Há 6 anos
Software engineering 101 - The basics you should hear about at least once
Alexey (Mr_Mig) Migutsky
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Há 9 anos
機械学習モデルの判断根拠の説明(Ver.2)
Satoshi Hara
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Há 4 anos
Understanding Query Plans and Spark UIs
Databricks
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Há 4 anos
How to be a Good Machine Learning PM by Google Product Manager
Product School
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Há 5 anos
失敗から学ぶ機械学習応用
Hiroyuki Masuda
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Há 4 anos
The columnar roadmap: Apache Parquet and Apache Arrow
DataWorks Summit
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Há 5 anos
PyData.Tokyo Meetup #21 講演資料「Optuna ハイパーパラメータ最適化フレームワーク」太田 健
Preferred Networks
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Há 4 anos
Pythonでの開発を効率的に進めるためのツール設定
Atsushi Odagiri
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Há 4 anos
深層学習の数理
Taiji Suzuki
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Há 4 anos
dplyr と purrrを用いたデータハンドリング
Somatori Keita
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Há 5 anos
PyDataプレゼン資料 20190619_配布用
TomohiroAoki6
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Há 4 anos
Cfa 20190620
Kei Nakagawa
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Há 4 anos
[DSO]勉強会_データサイエンス講義_Chapter1,2
tatsuyasakaeeda
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Há 4 anos
Koalas: Unifying Spark and pandas APIs
Takuya UESHIN
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Há 4 anos
ドメイン駆動設計の正しい歩き方
増田 亨
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Há 4 anos
無限
Naoaki Okazaki
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Há 4 anos