Personal Information
Entreprise/Lieu de travail
Reading, United Kingdom United Kingdom
Profession
Data Scientist at H2O.ai - Customer Success, Smart Apps, Machine Learning & Data Visualization
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.jofaichow.co.uk
À propos
Jo-fai (Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at external events.
Joe has a background in water engineering. Before his data science journey, he was an EngD researcher at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK ...
Mots-clés
h2o
machine learning
h2o.ai
deep learning
introduction
open source
caffè
mxnet
tensorflow
conference
kaggle
python
gpu
platform
r
meetup
coursera
drainage design
decision making
use case
tutorial
data science
london
career
predictive models
dss
suds
udacity
data analysis
sustainability
poster
evaluation
mlb
baseball
workshop
lime
model stacking
iot
code
pydata
skills
tools
integration
company profiles
animals
web service
domino data lab
sustainable drainage
decision support system
perugia
exeter
hamburg
statistics
artificial intelligence
conferences
confer
resear
sustainable development
Tout plus
Présentations
(25)Documents
(3)Personal Information
Entreprise/Lieu de travail
Reading, United Kingdom United Kingdom
Profession
Data Scientist at H2O.ai - Customer Success, Smart Apps, Machine Learning & Data Visualization
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.jofaichow.co.uk
À propos
Jo-fai (Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at external events.
Joe has a background in water engineering. Before his data science journey, he was an EngD researcher at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK ...
Mots-clés
h2o
machine learning
h2o.ai
deep learning
introduction
open source
caffè
mxnet
tensorflow
conference
kaggle
python
gpu
platform
r
meetup
coursera
drainage design
decision making
use case
tutorial
data science
london
career
predictive models
dss
suds
udacity
data analysis
sustainability
poster
evaluation
mlb
baseball
workshop
lime
model stacking
iot
code
pydata
skills
tools
integration
company profiles
animals
web service
domino data lab
sustainable drainage
decision support system
perugia
exeter
hamburg
statistics
artificial intelligence
conferences
confer
resear
sustainable development
Tout plus