27 September 2019
An introduction to machine learning in Stata
Over the last few years we have experienced an unprecedented explosion in the availability of data relating to social, economic, financial and health-related phenomena. Today researchers, professionals and policy makers have therefore access to enormous datasets (so-called Big Data) containing an abundance of information regarding individuals, companies and institutions.
Researchers and professionals working in biostatistics, economics, epidemiology, social and political sciences and public health wishing to implement Machine Learning techniques in Stata.
Machine learning has evolved in response to both the need to analyse extremely large databases and the availability of both sophisticated software and extremely powerful computer capacity. Machine learning, an application of artificial intelligence, offers a relatively new approach to data analysis, which trains systems to automatically learn and improve from experience without being explicitly programmed, relying instead on patterns and inference in the data.
EUR 0: During the course workshop participants will be provided with: a printed copy of the course handouts, the Stata do files and databases used through the workshop; together with a temporary licence of Stata 16 valid for 30 days. In order to benefit as much as possible from the course, we strongly suggest participants bring their own laptops along with them to be able to actively follow the applied sections.
The maximum number of participants permitted will be restricted to 15.
Individuals interested in attending the Italian Stata User’s Meeting must return their completed registration forms either by email email@example.com) to TStat by the 15th September 2019.