Machine Learning applied to journalism

Journalism today has the opportunity to make use of sophisticated tools that support practitioners in their work of investigation, verification and information retrieval. This is why we have moved to data journalism or data journalism, in which investigations and reportage increasingly make use of the internet and the availability of open data, more commonly known as open data.

This course will introduce you to the potential of Machine Learning and help you understand how to use it responsibly to improve your journalistic skills.

Il corso è rivolto a giornalisti e manager che studiano contenuti rilevanti e che cercano strumenti efficaci per interpretare una grande mole di dati.

THE COURSE IS DELIVERED IN LIVE ONLINE MODE

Lecturer: Patrizia Genovesi

Programma – 10 lezioni da 2 ore

Dates in definition

Frequenza bisettimanale (mercoledì e sabato)

• Che cos’è il Machine Learning
• Machine Learning e intelligenza artificiale
• Il Machine Learning nel giornalismo oggi
• Come utilizzare il Machine Learning
• Come apprende una macchina
• Il bias nel Machine Learning
• Il futuro del Machine Learning nel giornalismo

Fondamenti teorici:
Come indagare con il Machine Learning
Preparazione dei dati
Allenamento del modello

Prezzo: € 860,00 + iva 22%

 

For more information:

 

Call us on the number: +39 02 099 98 91     Write to us at: it**@it*********.it     Use the contact form

Once purchased the course you will receive the link to access the LIVE SESSION.

During the session live you can do the questions to the teacher via chat.

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Company data

Registered office:
Piazzetta Guastalla, 11 - 20122 Milan (MI) Fiscal Code/VAT Code: 09306810962
Capital stock: € 10,000 i.v.
CCIAA: MI-2082738
PEC: it**@pe*******.it
ITER is a trade mark patent registered in 1989

Contact

Administrative and operational headquarters:
Alley of Heat, 36
21047 Saronno (VA)
Phone: +39 02 099 98 91
Fax: +39 02 2953 2355


Email: it**@it*********.it