Personal Information
Organización/Lugar de trabajo
Milan Area, Italy Italy
Ocupación
Senior Data Scientist at Pirelli
Sector
Automotive
Acerca de
I believe that many real-world problems can be solved in a clean and elegant data-driven fashion.
Currently Data Scientist at Pirelli, Milan.
Areas of interest: Connected Vehicles and Predictive modelling for Cyber Technologies.
Founder and coordinator of the Data Science Milan community (www.datas iencemilan.org)
Summary:
* Commercial and technical experience of modeling unsupervised and predictive solutions for enterprise problems.
* Co-author of the Professional Data Science Manifesto (www.datasciencemanifesto.com).
* Distributed data processing using Spark, Hadoop and related technologies.
* Scaling Machine learning pipelines.
* Functional Programming Developer.
* Passionate about ...
Etiquetas
machine learning
enterprise
leadership
engineering
spark
big data
scalability
generative algorithms
entity recognition
recommender systems
artificial social intelligence
market research
panelists
latent affinities
production systems
serverless
aws
cloud
architecture
productivity
software
vademecum
team building
planning
products
management
strategy
product management
python
h2o
auto-encoders
anomaly detection
artificial intelligence
ai
in-memory
hdfs
jdbc
data science
logical datawarehouse
alluxio
financial services
agile
scala
science
genetic algorithm
tunup
data mining
cloud computing
dunn
clustering
davies bouldin
amazon elastic compute cloud
cluster
aic
k-means
silhouette
adjusted rand
hadoop
tuning
Ver más
Presentaciones
(9)Recomendaciones
(3)Why Deep Learning Works: Self Regularization in Deep Neural Networks
Charles Martin
•
Hace 5 años
Lessons Learned Running Hadoop and Spark in Docker Containers
BlueData, Inc.
•
Hace 7 años
Hundreds of queries in the time of one - Gianmario Spacagna
Spark Summit
•
Hace 8 años
Personal Information
Organización/Lugar de trabajo
Milan Area, Italy Italy
Ocupación
Senior Data Scientist at Pirelli
Sector
Automotive
Acerca de
I believe that many real-world problems can be solved in a clean and elegant data-driven fashion.
Currently Data Scientist at Pirelli, Milan.
Areas of interest: Connected Vehicles and Predictive modelling for Cyber Technologies.
Founder and coordinator of the Data Science Milan community (www.datas iencemilan.org)
Summary:
* Commercial and technical experience of modeling unsupervised and predictive solutions for enterprise problems.
* Co-author of the Professional Data Science Manifesto (www.datasciencemanifesto.com).
* Distributed data processing using Spark, Hadoop and related technologies.
* Scaling Machine learning pipelines.
* Functional Programming Developer.
* Passionate about ...
Etiquetas
machine learning
enterprise
leadership
engineering
spark
big data
scalability
generative algorithms
entity recognition
recommender systems
artificial social intelligence
market research
panelists
latent affinities
production systems
serverless
aws
cloud
architecture
productivity
software
vademecum
team building
planning
products
management
strategy
product management
python
h2o
auto-encoders
anomaly detection
artificial intelligence
ai
in-memory
hdfs
jdbc
data science
logical datawarehouse
alluxio
financial services
agile
scala
science
genetic algorithm
tunup
data mining
cloud computing
dunn
clustering
davies bouldin
amazon elastic compute cloud
cluster
aic
k-means
silhouette
adjusted rand
hadoop
tuning
Ver más