Prof. Dr. Diego Kuonen
276
Abonné
Personal Information
Entreprise/Lieu de travail
Berne, BE Switzerland
Profession
CEO & CAO, Statoo Consulting; Professor of Data Science, University of Geneva; PhD Statistics; CStat PStat CSci
Site Web
www.statoo.info
À propos
Prof. Dr. Diego Kuonen, PhD in Statistics and CStat PStat CSci, is founder, CEO and CAO of Statoo Consulting, Switzerland.
He has extensive experience in applying statistical engineering, statistical thinking, statistics, data mining (data science) and big data analytics within large and small companies in Switzerland and throughout Europe.
This resulted in fruitful collaborations helping companies to enhance their business and to make optimised data-driven decisions by the use of statistics and data science.
One of his credos with respect to data-driven business analytics is the wish to fill the gap between academic research and professional business management practice to enable co...
Mots-clés
big data
data science
statistics
data mining
statistician
data scientist
data miner
big data analytics
analytics
any data
data-driven
internet of things
iot
artificial intelligence
business analytics
predictive
machine intelligence
realities
myths
machine learning
digital
dataviz
learning
education and training
education
digital skills
edge
medicine
health
mhealth
ehealth
sasforum
pharma
engineering
cyber
visual analytics
visualisation
ddj
visual
biostatistics
clinical
official statistics
statsday15
policy making
world statistics day
data informed
data driven
decision making
pharmaceutical development
pharmaceutical industry
pharmaceutical
Tout plus
- Présentations
- Documents
- Infographies
How Google Works
Eric Schmidt
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il y a 9 ans
25 KPIs Every Manager Needs To Know
Bernard Marr
•
il y a 9 ans
What is Big Data?
Bernard Marr
•
il y a 10 ans
A Brief History of Big Data
Bernard Marr
•
il y a 9 ans
Big Data Analytics in Energy & Utilities
Anders Quitzau
•
il y a 9 ans
Data Design: Where Math and Art Collide
Trina Chiasson
•
il y a 9 ans
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
il y a 9 ans
Implications of Industry 4.0 for CIOs
Capgemini
•
il y a 8 ans
The Science of a Great Career in Data Science
Kate Matsudaira
•
il y a 9 ans
Data science and_analytics_for_ordinary_people_ebook
Jeffrey Strickland, Ph.D., CMSP
•
il y a 8 ans
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
il y a 9 ans
A Statistician's 'Big Tent' View on Big Data and Data Science (Version 5)
Prof. Dr. Diego Kuonen
•
il y a 9 ans
Impact of big data on analytics
Capgemini
•
il y a 9 ans
A Statistician's View on Big Data and Data Science (Version 2)
Prof. Dr. Diego Kuonen
•
il y a 9 ans
A Statistician's View on Big Data and Data Science (Version 3)
Prof. Dr. Diego Kuonen
•
il y a 9 ans
Strata San Jose 2016: Deep Learning is eating your lunch -- and mine
Sri Ambati
•
il y a 8 ans
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
il y a 7 ans
Web science - How is it different?
Daniel Tunkelang
•
il y a 9 ans
A New Year in Data Science: ML Unpaused
Paco Nathan
•
il y a 9 ans
Big Data and the SDGs
UN Global Pulse
•
il y a 7 ans