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An innovative leader experienced at inventing, designing, building, and operating Intelligent Systems, from concept to development and then through validation to business growth.
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Presentations
(211)Likes
(3)BigML Education - Introduction
BigML, Inc
•
6 years ago
BigML Fall 2015 Release
BigML, Inc
•
7 years ago
The Past, Present, and Future of Machine Learning APIs
BigML, Inc
•
8 years ago
Personal Information
Organization / Workplace
Corvallis, Oregon Area United States
Industry
Technology / Software / Internet
Website
https://bigml.com
About
An innovative leader experienced at inventing, designing, building, and operating Intelligent Systems, from concept to development and then through validation to business growth.
Tags
machine learning
bigml
machine learning school
summer school
automation
mlsev
virtual conference
dutchmlschool
dashboard
data
supervised learning
anomaly detection
education
whizzml
use case
workflows
ml
nyenrode business university
release
ensembles
api
netherlands
anomalies
business
ml school
mlsd18
ml platform
doha
event
qatar
tutorial
feature engineering
association discovery
business schools
qcri
vssml18
bssml17
brazil
curitiba
logistic regression
cluster analysis
processes
data-driven system
ml application
bigmlschool
sebrae
deepnets
evaluations
unsupervised learning
applications
vssml17
topic modeling
models
vssml16
machinelearning
vssml
clustering
computer vision
video
bssml16
data transformation
grio
optimization
workshop
deep neural networks
ai
ml adoption
predictive applications
transport infrastructure
infrastructure
roads
transportation
mobility
intelligent mobility
machine learning adoption
topic models
lda
fraud detection
association rules
webinar
the netherlands
platform
optiml
introduction
supervised
classification
time series
latent dirichlet allocation
anomaly detectors
industry
compliance
university
rabobank
bigml platform
fusions
data transformations
predictions
workflow
bindings
text analysis
predictive analytics
ml apps
cybersecurity
grc
risk reduction
business risk management
risk
governance
professor
nyenrode
unsupervised
a1 digital
clusters
logistic regressions
valencià
datasets
techniques
rest api
evaluation
image processing
image data
images
use cases
crime
enterprise
ie business school
conference
legal sector
manufacturing
retail
application
production
process
organizations
cleverdata
regression
companies
project
decision tree
algorithms
summary
feature selection
boosting
gradient descent
stacking
bigmler
transformation
flatline
developers
partial dependence plots
big data
ml applications
object detection
clothing
shops
groceries
bakeries
restaurants
promotions
sales
smart applications
waste
waste reduction
fnb retail
beverage retail
food retail
retail industry
demand forecasting
wholesale
lawyers
lawyerbot
legal automation
route optimization
highway concession operators
vŠe
prague university of economics and business
riskshield
fraud prevention
inform
kyc
automotive
logistics
enrique dans
strategy
executives
t2client
technical perspective
pca
research
example
merges
joins
qatar computing research institute
model selection
icos
barrabes
machine learning workflows
transformations
operations
case study
school
automatic optimization
fall
events
resources
interface
filtering
videos
forecast
amsterdam
crash course
algorithm
text
summer
automating-ml
ml-ready-data
features
dsl
artificial intelligence
programmable
google prediction api
customer segmentation
data driven
process optimization
fraud
regulations
riskshieldml
aml compliance
anti money laundering
search engine optimization
anomaly detector
academia
projects
value
lessons
lessons learned
telefonica
lynn legal
legal services
legal
siip group
siip
businesses
factories
business intelligence
photos
objection
image classification
photo
requirements
regulatory
forensics
myvayda
simacan
electric car
esade business school
esade
churn
insitituto inteligencia artificial
iia
ethics
healthcare
ie university
comillas
icade business school
travel and tourism
tourism
hotels
hotel sector
tourists nationality prediction
eoi business schools
eoi
ml project
end-to-end
ml event
united kingdom
university of portsmouth
academic literature
summarize
automl
berkeley sutardja center for entrepreneurship and
northeastern university
prediction
bankruptcy
online crime
fraudulent transactions
transactions
financial institutions
banks
banking
risk assessment
anti-money laundering
riskshiledml
ml automation
image
digital
environment
psychtech
quality
indorama
variations
tbm
tunnel boring machine
improvement
topic modelling
ricoh
powerpoint
elevators
telecom
marketing
insights
a1digital
adoption
innovation
ie
ml software
mlaas
know your customer
customer
organization
app
decisions
tom dietterich
deep learning
managers
energy
machine learning platform
law
laywers
nda lynn
juriblox
tdk electronic components
alterwork
contract
data-driven
factory
t2c
smart energy management
talento corporativo
data warehouse
slicingdice
jidoka
robotic process automation
machine learning end-to-end
technology
seville
2018
principal component analysis
data curation
hbku
real-world use case
house recommender
machine learning-ready data
revenue
company
real-world
aggregations
aggregates
profiling
error detection
cleaning
phases
parameterization
sql
team management
project management
collaboration
teams
clluc
bussiness
workshops
valencian
social good
bankable frontier associates
bfa global
model optimization
chinese
internationalization
2017
classification models
oprganization
threshold
operating thresholds
automating machine learning
machine learning automation
basic data transformations
lecture
valencian summer school in machine learning
editor
programming
domain specific language
view
sources
parser
pdp
fields
single predictions
decision trees
batch predictions
historical data
forecasting
loan risk analysis
data wrangling
demo
trifacta
evolution
2ml
impact
history
boosted trees
apps
web ui
model
supersived learning
topic
term
document
1d
chart
coefficient
2d
automating ml
advanced workflows
rest
data trasnformation
etl
topic distribution
topic modelin
isolation forest
random decision forest
bagging
statistical tests
correlations
amazon ml
azure ml
ibm watson
intelligent operations
active learning
item discover
nlp
microsoft excel
cloud computing
See more