Alexander Belokapov – Data Mining at CommEq
Alex Belokapov works at Commetric, CommEq and FidEq. He talks about the more technical side of media mining. He explains how and why they are using data mining techniques.
Alex Belokapov works at Commetric, CommEq and FidEq. He talks about the more technical side of media mining. He explains how and why they are using data mining techniques.
Spyros Garyfallos, CEO at Commetric, talks about media mining. He gives an introduction to Commetric and presetns the business aspect of their operations.
Metodi Nikolov, Senior Quantitative Analyst at FinAnalytica, talks about the Cognity Risk Management System.
(April 2, 2014) Metodi Nikolov, Senior Quantitative Analyst at FinAnalytica, talks about the probability models that a given financial data series follows. The speaker gives information about the kinds of outcomes and answers that can be gotten from the data.
(March 26, 2014) Metodi Nikolov, Senior Quantitative Analyst at FinAnalytica, talks about financial data – stocks, bonds, funds, interest. He gives information about the instruments, from which data that is modeled, that are usually extracted.
(March 26, 2014) Metodi Nikolov is a Senior Quantitative Analyst at FinAnalytica. He talks about risk management and the way they deal with it at FinAnalytica in building their software, called Cognity.
Rado Nikolov, CTO at Transmetrics, shows how to use R, an open-source software for statistical computing, to work with data.
Rado Nikolov, CTO at Transmetrics, talks about the Hidden Markov Model in details that is used to predict future volume distribution. The speaker shows how the forward and backward algorithms work.
(March 12, 2014) Rado Nikolov is a CTO of Transmetrics. The problem that the company is trying to solve is that more than half of the capacity is unused. The speaker talks about Transmetrics’ solution for Agility and the use of the Hidden Markov Model to predict future volume distribution.
(March 12, 2014) Rado Nikolov is a CTO of Transmetrics, a startup company, trying to bring big data and predictive analytics into the world of cargo transport. He says that the problem of this industry is that half of the money spent are spent on transporting empty space.