Personal Information
Organización/Lugar de trabajo
Greater Los Angeles Area, CA United States
Ocupación
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Sector
Technology / Software / Internet
Sitio web
web.calstatela.edu/centers/hipic/
Acerca de
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.
Etiquetas
big data
hadoop
spark
use cases
azure
ai
korea
distributed deep learning
machine learning
mapreduce
predictive analysis
history
hun
bigdata
nosql
shilla
deeplearning
mongol
ksea
hive
koguryo
giraph
xiungno
chosun
education
flume
fraud detection
korean american scientist and engineers associatio
data intensive computing
elasticsearch
hdinsights
cloudera
open data
ecosystems
tenguli
ibm
dashdb
alphago
sedol
scalable computing
baekje
dan-goon
spark ml
great wall
big data scienece
deep learning
old chosun
kaya
japan
yarn
china
bigdai
mandalin shaped dagger
cloud computing
dolmen
ideas
manchuria
testing
use cases in science
mrtest
big data training
shark
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
socal2018
adclick
history of big data
calstatela
traffic data analysis
traffic
apic-ist
outstanding paper award
open innovation network
icon2019
analytics zoo
amazon review rating
#bigdata
scalable predictive analysis
rapids
gpu
distributed parallel computing
airbnb rating
rapid
h2o sparkling water
bigdl
qiskit-machine-learning
qml
pennylane
spatial analysis
translation
ml
semiconductor
chip design
big data hadoop tutorial
mrunit test
word count
cloudera quick tutorial
scala
python
sec
fss
fintech
hadoop training
spark sql
data analysis
open platform
use case
twitter
visualization
nakrang
pyungyang
tomb
hyoongno
tensorflow
smart factory
aws
emr
financial fraud detection
dl
Ver más
Presentaciones
(49)Recomendaciones
(186)Predictive Analysis for Airbnb Listing Rating using Scalable Big Data Platform
Savita Yadav
•
Hace 3 años
Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark
Databricks
•
Hace 5 años
Assessing Drug Safety Using AI
Databricks
•
Hace 6 años
Distributed Deep Learning with Apache Spark and TensorFlow with Jim Dowling
Databricks
•
Hace 6 años
New Directions in pySpark for Time Series Analysis: Spark Summit East talk by David Palaitis
Spark Summit
•
Hace 8 años
Time Series Analysis with Spark by Sandy Ryza
Spark Summit
•
Hace 9 años
Scalable Time Series Forecasting and Monitoring using Apache Spark and ElasticSearch at Adye
Databricks
•
Hace 5 años
Automated Time Series Analysis using Deep Learning, Ray and Analytics Zoo
Jason Dai
•
Hace 5 años
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
Databricks
•
Hace 6 años
BigDL: Bringing Ease of Use of Deep Learning for Apache Spark with Jason Dai and Radhika Rangarajan
Databricks
•
Hace 8 años
Distributed Inference on Large Datasets Using Apache MXNet and Apache Spark with Naveen Swamy
Databricks
•
Hace 7 años
SFScon17 - Patrick Puecher: "Exploring data with Elasticsearch and Kibana"
South Tyrol Free Software Conference
•
Hace 7 años
Flintrock: A Faster, Better spark-ec2 by Nicholas Chammas
Spark Summit
•
Hace 9 años
Elasticsearch: Getting Started Part 3 Aggregations
Suyog Kale
•
Hace 7 años
Elasticsearch Basics
Shifa Khan
•
Hace 11 años
Big Data on Azure Tutorial
rustd
•
Hace 7 años
Crime pattern analysis_using_hadoop_big_data
Neha gupta
•
Hace 7 años
AdClickFraud_Bigdata-Apic-Ist-2019
Neha gupta
•
Hace 6 años
Deploying Data Science Engines to Production
Mostafa Majidpour
•
Hace 6 años
AI and Spark - IBM Community AI Day
Nick Pentreath
•
Hace 6 años
How to Productionize Your Machine Learning Models Using Apache Spark MLlib 2.x with Richard Garris
Databricks
•
Hace 8 años
딥러닝프레임워크비교
Junyi Song
•
Hace 8 años
Deep Learning with Spark
Anastasia Bobyreva
•
Hace 7 años
Part 1: Introducing the Cloudera Data Science Workbench
Cloudera, Inc.
•
Hace 8 años
Spark machine learning & deep learning
hoondong kim
•
Hace 8 años
Data Science Competition
Jeong-Yoon Lee
•
Hace 8 años
Sparkly Notebook: Interactive Analysis and Visualization with Spark
felixcss
•
Hace 10 años
How To Create An Impacting Startup Name
Tommaso Di Bartolo
•
Hace 9 años
Secrets to a Great Team
Elodie A.
•
Hace 9 años
Personal Information
Organización/Lugar de trabajo
Greater Los Angeles Area, CA United States
Ocupación
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Sector
Technology / Software / Internet
Sitio web
web.calstatela.edu/centers/hipic/
Acerca de
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.
Etiquetas
big data
hadoop
spark
use cases
azure
ai
korea
distributed deep learning
machine learning
mapreduce
predictive analysis
history
hun
bigdata
nosql
shilla
deeplearning
mongol
ksea
hive
koguryo
giraph
xiungno
chosun
education
flume
fraud detection
korean american scientist and engineers associatio
data intensive computing
elasticsearch
hdinsights
cloudera
open data
ecosystems
tenguli
ibm
dashdb
alphago
sedol
scalable computing
baekje
dan-goon
spark ml
great wall
big data scienece
deep learning
old chosun
kaya
japan
yarn
china
bigdai
mandalin shaped dagger
cloud computing
dolmen
ideas
manchuria
testing
use cases in science
mrtest
big data training
shark
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
socal2018
adclick
history of big data
calstatela
traffic data analysis
traffic
apic-ist
outstanding paper award
open innovation network
icon2019
analytics zoo
amazon review rating
#bigdata
scalable predictive analysis
rapids
gpu
distributed parallel computing
airbnb rating
rapid
h2o sparkling water
bigdl
qiskit-machine-learning
qml
pennylane
spatial analysis
translation
ml
semiconductor
chip design
big data hadoop tutorial
mrunit test
word count
cloudera quick tutorial
scala
python
sec
fss
fintech
hadoop training
spark sql
data analysis
open platform
use case
twitter
visualization
nakrang
pyungyang
tomb
hyoongno
tensorflow
smart factory
aws
emr
financial fraud detection
dl
Ver más