BIG DATA AND MACHINE LEARNING IN FINANCE


BIG DATA AND MACHINE LEARNING IN FINANCE


ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN FINANCE

The programme has the purpose to describe the common logic of machine learning algorithms and their applications in finance for market analysis and portfolio construction.

Duration
Target

STARTS: upon reaching a minimum number of participants

Location: Siracusa

Course taught in English/Italian

OVERVIEW

According to a survey by Barclays PLC, about 62% of hedge funds use some artificial intelligence processes to meet needs such as collecting real-time financial news from global financial markets. The algorithms are used to find the best way to perform operations, to identify market dynamics and to scan information sources for patterns that could change the direction of the market. More and more credit institutions use them to calculate a customer's score credit and to identify fraudulent transactions. Despite their widespread use, non-experts know little, almost nothing, of the logic with which an algorithm can distinguish images or write a poem. Even less clear is what has to do with the visual recognition typical of AI with the management of a financial portfolio.
The goal of this programme is precisely to "demystify" machine learning algorithms, describing their common logic in an accessible way. This will allow understanding why algorithms can be successfully applied in finance for market analysis and portfolio construction. 

 

CONTENT 

  • The cerebral cortex and statistical learning: a brief history of artificial intelligence
  • Watch with the eyes of machines: Neural Network and Deep Learning
  • Applications in finance
  • Credit Scoring
  • Fraud detection
  • Building portfolios with Big Data and Deep Learning

 

LECTURER

Giuseppe Ragusa, Associate Professor of Economics at the Univerity of Pisa

 

ENROLMENT PROCEDURE

In order to apply, please fill in the form at the following link, stating in the Motivation Letter the Name and the Edition of the Programme you are applying for.

For more information contact us at info@ortygiabs.org.