Takehiko Yamaguchi
3
Seguidores
Personal Information
Organização/Local de trabalho
Japan Japan
Cargo
Analytics and Development
Setor
Technology / Software / Internet
Sobre
+ Data Science (Analysis, Mining, Prediction, Machine Learning)
+ Quantitative Finance and Risk Management
+ Numerical Simulation and Analysis (MC simulation, FDM, FEM)
+ Scientific Computing (C/C++, VBA, Python, JAVA, MATLAB, MATHEMATICA, etc.)
+ Statistical Data Analysis (R, SAS, SPSS, STATA, etc.)
+ Financial Economics
+ Country Risk Research
Specialties:
+ Financial Mathematics
+ Numerical Analysis and Simulation
+ Scientific Computing and Programming
+ Statistical Data Analysis
Financial Risk Manager – Certified by the Global Association of Risk Professionals 2009
- Apresentações
- Documentos
- Infográficos
MIRU2014 tutorial deeplearning
Takayoshi Yamashita
•
Há 9 anos
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
Há 6 anos
上司が信用できない会社の内部統制~第32回WebSig会議「便利さと、怖さと、心強さと〜戦う会社のための社内セキュリティ 2013年のスタンダードとは?!」2013.3.9
WebSig24/7
•
Há 11 anos
Deep Learningと画像認識 ~歴史・理論・実践~
nlab_utokyo
•
Há 9 anos
スマホマーケットの概要と、マーケティングの失敗例と改善 (アナリティクス アソシエーション 特別セミナー)
Tokoroten Nakayama
•
Há 9 anos
はじめよう多変量解析~主成分分析編~
宏喜 佐野
•
Há 10 anos
一般向けのDeep Learning
Preferred Networks
•
Há 10 anos
パターン認識と機械学習入門
Momoko Hayamizu
•
Há 11 anos
最適化超入門
Takami Sato
•
Há 9 anos
機械学習によるデータ分析まわりのお話
Ryota Kamoshida
•
Há 9 anos
5分でわかるベイズ確率
hoxo_m
•
Há 10 anos
実装ディープラーニング
Yurie Oka
•
Há 10 anos
セールスアニマルになろう スタートアップ初期の営業戦略
Takaaki Umada
•
Há 8 anos
機械学習の理論と実践
Preferred Networks
•
Há 10 anos
「はじめてでもわかる RandomForest 入門-集団学習による分類・予測 -」 -第7回データマイニング+WEB勉強会@東京
Koichi Hamada
•
Há 13 anos
捗るリコメンドシステムの裏事情(ハッカドール)
mosa siru
•
Há 9 anos
40分でわかるHadoop徹底入門 (Cloudera World Tokyo 2014 講演資料)
hamaken
•
Há 9 anos
Deep Learning技術の今
Seiya Tokui
•
Há 10 anos
猫でも分かるVariational AutoEncoder
Sho Tatsuno
•
Há 7 anos
【解説】 一般逆行列
Kenjiro Sugimoto
•
Há 6 anos