Personal Information
Organização/Local de trabalho
Within 23 wards, Tokyo, Japan Japan
Setor
Technology / Software / Internet
Site
www.abbvie.co.jp/
Sobre
【AbbVie】
Building up "Data science" team.
And establishing Machine Learning and AI to pharmaceutical industry.
【Brainpad】
8 years data analysis and consulting experiences for about 50 clients.
Management data scientist team more than 2 years.
専門分野: Decision making from "raw data"
Designing and constructing the machine learning model and AI.
(targeting,recommendations,clustering,demand forecasting etc.)
- Apresentações
- Documentos
- Infográficos
トピックモデルの基礎と応用
Tomonari Masada
•
Há 5 anos
潜在ディリクレ配分法
y-uti
•
Há 4 anos
トピックモデルでテキストをクラスタリングしてみた
Hirofumi Tsuruta
•
Há 7 anos
EMアルゴリズム
Sotetsu KOYAMADA（小山田創哲）
•
Há 9 anos
医療ビッグデータの今後を見通すために知っておきたい機械学習の基礎〜最前線 agains COVID-19
Tatsuya Shirakawa
•
Há 4 anos
Artwork Personalization at Netflix
Justin Basilico
•
Há 5 anos
NIPS2017読み会@PFN Lundberg and Lee, 2017: SHAP
Ryo Inokuchi
•
Há 6 anos
仕事ではじめる機械学習
Aki Ariga
•
Há 5 anos
強化学習と逆強化学習を組み合わせた模倣学習
Eiji Uchibe
•
Há 4 anos
Explainable AI in Industry (KDD 2019 Tutorial)
Krishnaram Kenthapadi
•
Há 4 anos
JapanTaxiにおけるSagemaker＋αによる機械学習アプリケーションの本番運用
Tetsutaro Watanabe
•
Há 4 anos
For MANABIYA
ssuserafaae8
•
Há 5 anos
20181030 fun
Hiroshi Maruyama
•
Há 5 anos
2 3.GLMの基礎
logics-of-blue
•
Há 10 anos
Pythonで動物の行動データを解析する研究をするには
Toru Tamaki
•
Há 5 anos
機械学習技術の現在＋TensolFlow White Paper
maruyama097
•
Há 8 anos
時系列ビッグデータの特徴自動抽出とリアルタイム将来予測（第9回ステアラボ人工知能セミナー）
STAIR Lab, Chiba Institute of Technology
•
Há 7 anos
Mitigating User Experience from 'Breaking Bad': The Twitter Approach [Velocity New York 2014]
Piyush Kumar
•
Há 9 anos
決定木学習
Mitsuo Shimohata
•
Há 9 anos
TensorFlowで逆強化学習
Mitsuhisa Ohta
•
Há 7 anos