Christoforos Anagnostopoulos
3 SlideShares 3 Seguidores
Personal Information
Organização/Local de trabalho
London, United Kingdom United Kingdom
Cargo
Machine Learning and Artificial Intelligence Researcher - Chief Scientist and Founder, Mentat
Setor
Education
Site
http://www.canagnos.com
Sobre
My career has been motivated by a singular and genuine curiosity into what it means to learn from evidence, and in particular from evidence arising from measurements, i.e., data. This has driven me to study a variety of subjects, including mathematical logic, epistemology, probability theory, statistical modelling, machine learning and artificial intelligence. From a technical standpoint I am focused on the analysis of learning from streaming data in highly dynamic situations, ranging from cybersecurity to neuroimaging. Following an academic career as a Research Fellow at Cambridge University and an Associate Professor at Imperial College, I co-founded a startup in Machine Learning for da...
Detalhes do contato
Marcadores
data science artificial intelligence machine learning data mining analytics data analysis cybersecurity anomaly detection unsupervised learning supervised learning business intelligence big data hiring data science
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Apresentações

(3)

Data Science versus Artificial Intelligence: a useful distinction

Há 6 anos • 738 Visualizações

Why Data Science is a Science

Há 5 anos • 83 Visualizações

Weakly supervised learning

Há 5 anos • 285 Visualizações

Gostaram

(3)

Big Data

Santhosh Shankar • Há 11 anos

Streaming Data and Concurrency in R

Rory Winston • Há 12 anos

Realtime r

Ajay Ohri • Há 12 anos
Personal Information
Organização/Local de trabalho
London, United Kingdom United Kingdom
Cargo
Machine Learning and Artificial Intelligence Researcher - Chief Scientist and Founder, Mentat
Setor
Education
Site
http://www.canagnos.com
Sobre
My career has been motivated by a singular and genuine curiosity into what it means to learn from evidence, and in particular from evidence arising from measurements, i.e., data. This has driven me to study a variety of subjects, including mathematical logic, epistemology, probability theory, statistical modelling, machine learning and artificial intelligence. From a technical standpoint I am focused on the analysis of learning from streaming data in highly dynamic situations, ranging from cybersecurity to neuroimaging. Following an academic career as a Research Fellow at Cambridge University and an Associate Professor at Imperial College, I co-founded a startup in Machine Learning for da...
Marcadores
data science artificial intelligence machine learning data mining analytics data analysis cybersecurity anomaly detection unsupervised learning supervised learning business intelligence big data hiring data science
Ver mais