Personal Information
Entreprise/Lieu de travail
Greater Los Angeles Area, CA United States
Profession
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Secteur d’activité
Technology / Software / Internet
Site Web
web.calstatela.edu/centers/hipic/
À propos
My grad students are ready in Hadoop Big Data Analysis and Science positions.
Besides, if you have any Big Data Analysis and Science project to collaborate, contact me.
Specialties: Big Data Analysis, Science, Visualization using Hadoop Spark with experiences in certifications (Cloudera Certified HBase, Developer, Admin / Instructor), Databricks/Cloudera CAP Educational Partner, Spark, MapReduce, HBase, Solr, Couchbase/MongoDB, n-Tier Architecture, Information Retrieval, Information Integration, Business Intelligence, Data Mining, Text Mining, Parallel and Distributed Computing, Mobile Cloud Computing.
Mots-clés
big data
hadoop
spark
use cases
distributed deep learning
azure
korea
predictive analysis
ai
machine learning
mapreduce
history
deeplearning
hive
bigdata
giraph
nosql
ksea
xiungno
shilla
koguryo
chosun
mongol
hun
spark ml
big data scienece
deep learning
bigdai
cloud computing
ideas
fraud detection
elasticsearch
open data
ibm
dashdb
alphago
sedol
hdinsights
yarn
flume
education
ecosystems
cloudera
korean american scientist and engineers associatio
japan
kaya
old chosun
great wall
dan-goon
baekje
china
mandalin shaped dagger
dolmen
tenguli
manchuria
pennylane
qml
qiskit-machine-learning
bigdl
h2o sparkling water
rapid
airbnb rating
scalable computing
distributed parallel computing
gpu
rapids
scalable predictive analysis
#bigdata
amazon review rating
analytics zoo
icon2019
open innovation network
outstanding paper award
apic-ist
traffic
traffic data analysis
calstatela
history of big data
adclick
socal2018
financial fraud detection
emr
aws
smart factory
tensorflow
hyoongno
tomb
pyungyang
nakrang
visualization
twitter
use case
open platform
data analysis
spark sql
hadoop training
fintech
fss
sec
python
scala
cloudera quick tutorial
word count
mrunit test
big data hadoop tutorial
chip design
semiconductor
use cases in science
testing
mrtest
big data training
shark
data intensive computing
the power of women in goryeo dynasity
khan
41st
samsung
pit
market basket analysis
hbase
ksea-sc
ukc 2011
chapter presidents
market basket ana
gija
kim
wiman
the hun
Tout plus
Présentations
(47)J’aime
(188)Predictive Analysis for Airbnb Listing Rating using Scalable Big Data Platform
Savita Yadav
•
il y a 2 ans
Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark
Databricks
•
il y a 3 ans
Assessing Drug Safety Using AI
Databricks
•
il y a 5 ans
Distributed Deep Learning with Apache Spark and TensorFlow with Jim Dowling
Databricks
•
il y a 5 ans
New Directions in pySpark for Time Series Analysis: Spark Summit East talk by David Palaitis
Spark Summit
•
il y a 7 ans
Time Series Analysis with Spark by Sandy Ryza
Spark Summit
•
il y a 8 ans
Scalable Time Series Forecasting and Monitoring using Apache Spark and ElasticSearch at Adye
Databricks
•
il y a 4 ans
Automated Time Series Analysis using Deep Learning, Ray and Analytics Zoo
Jason Dai
•
il y a 4 ans
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
Databricks
•
il y a 5 ans
BigDL: Bringing Ease of Use of Deep Learning for Apache Spark with Jason Dai and Radhika Rangarajan
Databricks
•
il y a 6 ans
Distributed Inference on Large Datasets Using Apache MXNet and Apache Spark with Naveen Swamy
Databricks
•
il y a 5 ans
SFScon17 - Patrick Puecher: "Exploring data with Elasticsearch and Kibana"
South Tyrol Free Software Conference
•
il y a 6 ans
Flintrock: A Faster, Better spark-ec2 by Nicholas Chammas
Spark Summit
•
il y a 8 ans
Elasticsearch: Getting Started Part 3 Aggregations
Suyog Kale
•
il y a 6 ans
Elasticsearch Basics
Shifa Khan
•
il y a 10 ans
Big Data on Azure Tutorial
rustd
•
il y a 6 ans
Crime pattern analysis_using_hadoop_big_data
Neha gupta
•
il y a 6 ans
AdClickFraud_Bigdata-Apic-Ist-2019
Neha gupta
•
il y a 4 ans
Deploying Data Science Engines to Production
Mostafa Majidpour
•
il y a 5 ans
AI and Spark - IBM Community AI Day
Nick Pentreath
•
il y a 5 ans
How to Productionize Your Machine Learning Models Using Apache Spark MLlib 2.x with Richard Garris
Databricks
•
il y a 6 ans
딥러닝프레임워크비교
Junyi Song
•
il y a 7 ans
Deep Learning with Spark
Anastasia Bobyreva
•
il y a 6 ans
Part 1: Introducing the Cloudera Data Science Workbench
Cloudera, Inc.
•
il y a 7 ans
Spark machine learning & deep learning
hoondong kim
•
il y a 7 ans
Data Science Competition
Jeong-Yoon Lee
•
il y a 7 ans
Sparkly Notebook: Interactive Analysis and Visualization with Spark
felixcss
•
il y a 9 ans
How To Create An Impacting Startup Name
Tommaso Di Bartolo
•
il y a 7 ans
Secrets to a Great Team
Elodie A.
•
il y a 7 ans
Personal Information
Entreprise/Lieu de travail
Greater Los Angeles Area, CA United States
Profession
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Secteur d’activité
Technology / Software / Internet
Site Web
web.calstatela.edu/centers/hipic/
À propos
My grad students are ready in Hadoop Big Data Analysis and Science positions.
Besides, if you have any Big Data Analysis and Science project to collaborate, contact me.
Specialties: Big Data Analysis, Science, Visualization using Hadoop Spark with experiences in certifications (Cloudera Certified HBase, Developer, Admin / Instructor), Databricks/Cloudera CAP Educational Partner, Spark, MapReduce, HBase, Solr, Couchbase/MongoDB, n-Tier Architecture, Information Retrieval, Information Integration, Business Intelligence, Data Mining, Text Mining, Parallel and Distributed Computing, Mobile Cloud Computing.
Mots-clés
big data
hadoop
spark
use cases
distributed deep learning
azure
korea
predictive analysis
ai
machine learning
mapreduce
history
deeplearning
hive
bigdata
giraph
nosql
ksea
xiungno
shilla
koguryo
chosun
mongol
hun
spark ml
big data scienece
deep learning
bigdai
cloud computing
ideas
fraud detection
elasticsearch
open data
ibm
dashdb
alphago
sedol
hdinsights
yarn
flume
education
ecosystems
cloudera
korean american scientist and engineers associatio
japan
kaya
old chosun
great wall
dan-goon
baekje
china
mandalin shaped dagger
dolmen
tenguli
manchuria
pennylane
qml
qiskit-machine-learning
bigdl
h2o sparkling water
rapid
airbnb rating
scalable computing
distributed parallel computing
gpu
rapids
scalable predictive analysis
#bigdata
amazon review rating
analytics zoo
icon2019
open innovation network
outstanding paper award
apic-ist
traffic
traffic data analysis
calstatela
history of big data
adclick
socal2018
financial fraud detection
emr
aws
smart factory
tensorflow
hyoongno
tomb
pyungyang
nakrang
visualization
twitter
use case
open platform
data analysis
spark sql
hadoop training
fintech
fss
sec
python
scala
cloudera quick tutorial
word count
mrunit test
big data hadoop tutorial
chip design
semiconductor
use cases in science
testing
mrtest
big data training
shark
data intensive computing
the power of women in goryeo dynasity
khan
41st
samsung
pit
market basket analysis
hbase
ksea-sc
ukc 2011
chapter presidents
market basket ana
gija
kim
wiman
the hun
Tout plus