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Tokyo Japan
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Quantitative Analyst
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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
•
2 years ago
このIRのグラフがすごい!上場企業2021
itoyan110
•
2 years ago
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
•
3 years ago
機械学習の精度と売上の関係
Tokoroten Nakayama
•
6 years ago
Software engineering 101 - The basics you should hear about at least once
Alexey (Mr_Mig) Migutsky
•
9 years ago
機械学習モデルの判断根拠の説明(Ver.2)
Satoshi Hara
•
4 years ago
Understanding Query Plans and Spark UIs
Databricks
•
4 years ago
How to be a Good Machine Learning PM by Google Product Manager
Product School
•
5 years ago
失敗から学ぶ機械学習応用
Hiroyuki Masuda
•
4 years ago
The columnar roadmap: Apache Parquet and Apache Arrow
DataWorks Summit
•
5 years ago
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
•
4 years ago
Pythonでの開発を効率的に進めるためのツール設定
Atsushi Odagiri
•
4 years ago
深層学習の数理
Taiji Suzuki
•
4 years ago
dplyr と purrrを用いたデータハンドリング
Somatori Keita
•
5 years ago
PyDataプレゼン資料 20190619_配布用
TomohiroAoki6
•
4 years ago
Cfa 20190620
Kei Nakagawa
•
4 years ago
[DSO]勉強会_データサイエンス講義_Chapter1,2
tatsuyasakaeeda
•
4 years ago
Koalas: Unifying Spark and pandas APIs
Takuya UESHIN
•
4 years ago
ドメイン駆動設計の正しい歩き方
増田 亨
•
4 years ago
無限
Naoaki Okazaki
•
4 years ago