Personal Information
Entreprise/Lieu de travail
Ibaraki, Japan Japan
Profession
Research Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
myui.github.io/
À propos
Working on distributed and parallel data processing and large-scale machine learning at the data science research group.
Mots-clés
hive
machine learning
hadoop
hivemall
spark
data analytics
apache spark
big data
apache hive
apache pig
myui
apache hadoop
treasure-data
index
btree
glock
buffer
management
lock-free
apachecon
btrees
b+-trees
sql
distributed gradient
bdi
parameter server
mllib
data science
recommendation
matrix factorization
dbts2016
treasure data
dbts-tokyo-2015
adtech
machinelearning
machine-learning
hivemall spark mllib
webdbf2014 webdbf
hadoop hive machine-learning hivemall machinelearn
hive machine-learning hivemall
mahout
paralleldb 並列db mapreduce join mpp
hadoop machine-learning
database buffer-management page-replacement algori
hive pig logistic-regression sgd gradient-descent
concurrent
Tout plus
Présentations
(42)J’aime
(22)深層学習時代の自然言語処理ビジネス
Yuya Unno
•
il y a 5 ans
Hive + Tez: A Performance Deep Dive
DataWorks Summit
•
il y a 9 ans
分散トレーシング技術について(Open tracingやjaeger)
NTT Communications Technology Development
•
il y a 6 ans
Imputation of Missing Values using Random Forest
Satoshi Kato
•
il y a 7 ans
Interactive Analytics at Scale in Apache Hive Using Druid
DataWorks Summit/Hadoop Summit
•
il y a 7 ans
Apache Hivemall @ Apache BigData '17, Miami
Makoto Yui
•
il y a 6 ans
Sano tokyowebmining 201625_v04
Masakazu Sano
•
il y a 7 ans
Writing app framworks for hadoop on yarn
DataWorks Summit
•
il y a 11 ans
Pythonで機械学習を自動化 auto sklearn
Yukino Ikegami
•
il y a 8 ans
双対定理
JAVA DM
•
il y a 14 ans
機械学習によるデータ分析まわりのお話
Ryota Kamoshida
•
il y a 9 ans
SQL on Hadoop 比較検証 【2014月11日における検証レポート】
NTT DATA OSS Professional Services
•
il y a 9 ans
Apache storm vs. Spark Streaming
P. Taylor Goetz
•
il y a 9 ans
Learning Deep Architectures for AI (第 3 回 Deep Learning 勉強会資料; 松尾)
Ohsawa Goodfellow
•
il y a 11 ans
Intel TSX 触ってみた 追加実験 (TTAS)
Takashi Hoshino
•
il y a 10 ans
Intel TSX HLE を触ってみた x86opti
Takashi Hoshino
•
il y a 10 ans
Intel TSX について x86opti
Takashi Hoshino
•
il y a 11 ans
Dear NSA, let me take care of your slides.
Emiland
•
il y a 10 ans
Building High-level Features Using Large Scale Unsupervised Learning
Takuya Minagawa
•
il y a 11 ans
DSIRNLP#1 ランキング学習ことはじめ
sleepy_yoshi
•
il y a 12 ans
ZDD入門-お姉さんを救う方法
nishio
•
il y a 11 ans
Data Presentations Cassandra Sigmod
Jeff Hammerbacher
•
il y a 15 ans
Personal Information
Entreprise/Lieu de travail
Ibaraki, Japan Japan
Profession
Research Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
myui.github.io/
À propos
Working on distributed and parallel data processing and large-scale machine learning at the data science research group.
Mots-clés
hive
machine learning
hadoop
hivemall
spark
data analytics
apache spark
big data
apache hive
apache pig
myui
apache hadoop
treasure-data
index
btree
glock
buffer
management
lock-free
apachecon
btrees
b+-trees
sql
distributed gradient
bdi
parameter server
mllib
data science
recommendation
matrix factorization
dbts2016
treasure data
dbts-tokyo-2015
adtech
machinelearning
machine-learning
hivemall spark mllib
webdbf2014 webdbf
hadoop hive machine-learning hivemall machinelearn
hive machine-learning hivemall
mahout
paralleldb 並列db mapreduce join mpp
hadoop machine-learning
database buffer-management page-replacement algori
hive pig logistic-regression sgd gradient-descent
concurrent
Tout plus