Mathieu Dumoulin
53
Abonné
Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Data Engineer at MapR Technologies #unrecruitable
Secteur d’activité
Technology / Software / Internet
Site Web
www.mapr.com
À propos
If there is anything I am good at, it's the ability to understand a business problem and translate it into working, state of the art technology. I combine professional level skills of a big data architect, data engineer, machine learning engineer and data scientist. In Machine learning,
Recently I've been working a lot with Hadoop (MapR's distribution) and Apache Spark, Apache Drill, Elasticsearch/Kibana and Kafka/MapR Streams for real-time event-driven processing.
On the machine learning side, I have strong practical experience with supervised learning, especially applied to unstructured (text) data in English, Japanese and French. Within these data-related specialties, I am more of ...
Mots-clés
mapr
big data
machine learning
microservices
kafka
streaming
spark
hadoop
enterprise
h2o
apache spark
deep learning
apache hadoop
container orchestration
containers
converged
tensorflow
kubernetes
predictive maintenance
iot
real-time
sensor
data science
cep
scalable
strata singapore 2106
software architecture
flink
large scale
benchmarks
distributed
caffeonspark
java machine learning datarobot h2o
mapreduce distribué fondamental
introduction
indroduction
Tout plus
- Présentations
- Documents
- Infographies
Hype vs. Reality: The AI Explainer
Luminary Labs
•
il y a 7 ans
Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams
ryanorban
•
il y a 8 ans
Deep Learning through Examples
Sri Ambati
•
il y a 9 ans
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
il y a 9 ans
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
il y a 8 ans
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
il y a 9 ans
Deep Learning - Convolutional Neural Networks
Christian Perone
•
il y a 8 ans
Hadoop Adventures At Spotify (Strata Conference + Hadoop World 2013)
Adam Kawa
•
il y a 10 ans
10 Common Hadoop-able Problems Webinar
Cloudera, Inc.
•
il y a 13 ans
2015 data-science-salary-survey
Adam Rabinovitch
•
il y a 8 ans
Top 5 Mistakes When Writing Spark Applications
Spark Summit
•
il y a 7 ans
Which Algorithms Really Matter
Ted Dunning
•
il y a 10 ans
Deploying deep learning models with Docker and Kubernetes
PetteriTeikariPhD
•
il y a 7 ans
Solid C++ by Example
Olve Maudal
•
il y a 13 ans
Deep learning - Conceptual understanding and applications
Buhwan Jeong
•
il y a 9 ans
PayPal's Fraud Detection with Deep Learning in H2O World 2014
Sri Ambati
•
il y a 9 ans
A Gentle Introduction to Locality Sensitive Hashing with Apache Spark
François Garillot
•
il y a 8 ans
Intro to Pig UDF
Chris Wilkes
•
il y a 13 ans
Lessons Learned from Building Machine Learning Software at Netflix
Justin Basilico
•
il y a 9 ans
Intro to Apache Mahout
Grant Ingersoll
•
il y a 13 ans