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Takehiko Yamaguchi

Takehiko Yamaguchi

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Personal Information
Organization / Workplace
Japan Japan
Occupation
Analytics and Development
Industry
Technology / Software / Internet
About
+ 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
Contact Details
Likes (403)
See all
NLU / Intent Detection Benchmark by Intento, August 2017
Konstantin Savenkov • 5 years ago
【メタサーベイ】基盤モデル / Foundation Models
cvpaper. challenge • 9 months ago
データサイエンティスト協会スキル委員会4thシンポジウム講演資料
The Japan DataScientist Society • 5 years ago
スキルチェックリスト 2017年版
The Japan DataScientist Society • 5 years ago
Chainerを使って本気でマーケットの予測システムを作ったらこうなった
Tomoya Kitayama • 4 years ago
仕事ではじめる機械学習
Aki Ariga • 5 years ago
猫でも分かるVariational AutoEncoder
Sho Tatsuno • 6 years ago
機械学習の精度と売上の関係
Tokoroten Nakayama • 5 years ago
Enterprise IIoT Edge Processing with Apache NiFi
Timothy Spann • 5 years ago
20170422 数学カフェ Part2
Kenta Oono • 6 years ago
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez • 5 years ago
FPGAによる大規模データ処理の高速化
Kazunori Sato • 5 years ago
【解説】 一般逆行列
Kenjiro Sugimoto • 5 years ago
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 • 7 years ago
Fpgax20180217
Natsutani Minoru • 5 years ago
Anomaly detection in deep learning (Updated) English
Adam Gibson • 6 years ago
NIPS2017読み会 LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Takami Sato • 5 years ago
自習形式で学ぶ「DIGITS による画像分類入門」
NVIDIA Japan • 5 years ago
基礎から学ぶ! インダストリアルIoTの実現に必須のセンサ計測と予知保全の動向
The Japan DataScientist Society • 5 years ago
機械学習の先端センシングへの適用と展望
The Japan DataScientist Society • 5 years ago
『機械学習による故障予測・異常検知 事例紹介とデータ分析プロジェクト推進ポイント』
The Japan DataScientist Society • 5 years ago
グラフィカル Lasso を用いた異常検知
Yuya Takashina • 6 years ago
If文から機械学習への道
nishio • 5 years ago
Oracle R Enterprise のセットアップ
オラクルエンジニア通信 • 6 years ago
Tips for data science competitions
Owen Zhang • 7 years ago
深層学習を医療に応用するために
ReNom User Group • 5 years ago
Infrastructure as CodeでReNom環境構築入門
ReNom User Group • 5 years ago
Live Anomaly Detection
Arun Kejariwal • 5 years ago
State of the Art Robot Predictive Maintenance with Real-time Sensor Data
Mathieu Dumoulin • 5 years ago
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
Ryuji Tamagawa • 5 years ago
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Likes (403)
See all
NLU / Intent Detection Benchmark by Intento, August 2017
Konstantin Savenkov • 5 years ago
【メタサーベイ】基盤モデル / Foundation Models
cvpaper. challenge • 9 months ago
データサイエンティスト協会スキル委員会4thシンポジウム講演資料
The Japan DataScientist Society • 5 years ago
スキルチェックリスト 2017年版
The Japan DataScientist Society • 5 years ago
Chainerを使って本気でマーケットの予測システムを作ったらこうなった
Tomoya Kitayama • 4 years ago
仕事ではじめる機械学習
Aki Ariga • 5 years ago
猫でも分かるVariational AutoEncoder
Sho Tatsuno • 6 years ago
機械学習の精度と売上の関係
Tokoroten Nakayama • 5 years ago
Enterprise IIoT Edge Processing with Apache NiFi
Timothy Spann • 5 years ago
20170422 数学カフェ Part2
Kenta Oono • 6 years ago
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez • 5 years ago
FPGAによる大規模データ処理の高速化
Kazunori Sato • 5 years ago
【解説】 一般逆行列
Kenjiro Sugimoto • 5 years ago
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 • 7 years ago
Fpgax20180217
Natsutani Minoru • 5 years ago
Anomaly detection in deep learning (Updated) English
Adam Gibson • 6 years ago
NIPS2017読み会 LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Takami Sato • 5 years ago
自習形式で学ぶ「DIGITS による画像分類入門」
NVIDIA Japan • 5 years ago
基礎から学ぶ! インダストリアルIoTの実現に必須のセンサ計測と予知保全の動向
The Japan DataScientist Society • 5 years ago
機械学習の先端センシングへの適用と展望
The Japan DataScientist Society • 5 years ago
『機械学習による故障予測・異常検知 事例紹介とデータ分析プロジェクト推進ポイント』
The Japan DataScientist Society • 5 years ago
グラフィカル Lasso を用いた異常検知
Yuya Takashina • 6 years ago
If文から機械学習への道
nishio • 5 years ago
Oracle R Enterprise のセットアップ
オラクルエンジニア通信 • 6 years ago
Tips for data science competitions
Owen Zhang • 7 years ago
深層学習を医療に応用するために
ReNom User Group • 5 years ago
Infrastructure as CodeでReNom環境構築入門
ReNom User Group • 5 years ago
Live Anomaly Detection
Arun Kejariwal • 5 years ago
State of the Art Robot Predictive Maintenance with Real-time Sensor Data
Mathieu Dumoulin • 5 years ago
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
Ryuji Tamagawa • 5 years ago
Personal Information
Organization / Workplace
Japan Japan
Occupation
Analytics and Development
Industry
Technology / Software / Internet
About
+ 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

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