Personal Information
Entreprise/Lieu de travail
Paris Area, France France
Profession
Data Science Consultant at Capgemini
Secteur d’activité
Technology / Software / Internet
Mots-clés
neo4j
nosql
big data
cnam
graphe
statistical learning
model selection
regularization
knn
linear regression
logistic regression
random frest
data scientist
trees
statistics
r
ggplot2
cah
clustering
k-means
database
api
recommender
music
databases
Tout plus
Présentations
(11)J’aime
(9)Industrialize Machine Learning Using CI/CD Techniques (FSV304-i) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
Top 5 mistakes when writing Spark applications
hadooparchbook
•
il y a 7 ans
Apache Spark Model Deployment
Databricks
•
il y a 7 ans
Graph Databases for Master Data Management
Neo4j
•
il y a 7 ans
Data mining fp growth
Shihab Rahman
•
il y a 10 ans
SparkR: The Past, the Present and the Future-(Shivaram Venkataraman and Rui Sun, UC Berkeley AMPLAB and Intel)
Spark Summit
•
il y a 8 ans
ETL with SPARK - First Spark London meetup
Rafal Kwasny
•
il y a 9 ans
Les enjeux du Big Data pour l'Entreprise - These professionnelle -Touria Engohan- MBA ISC PARIS
Touria Engohan
•
il y a 11 ans
Data clustering using map reduce
Varad Meru
•
il y a 10 ans
Personal Information
Entreprise/Lieu de travail
Paris Area, France France
Profession
Data Science Consultant at Capgemini
Secteur d’activité
Technology / Software / Internet
Mots-clés
neo4j
nosql
big data
cnam
graphe
statistical learning
model selection
regularization
knn
linear regression
logistic regression
random frest
data scientist
trees
statistics
r
ggplot2
cah
clustering
k-means
database
api
recommender
music
databases
Tout plus