Libri UniversitariProf. Giovanni Colavizza
Alma Mater Studiorum - Università di Bologna · Studi umanistici · libri consigliati e cosa studiare, a.a. 2026/2027
Libri adottati dal prof. Giovanni Colavizza
- Zhang et al., Dive Into Deep Learning, MIT – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Allamar, Jay, The Illustrated Transformer, 2018. https://jalammar.github.io/illustrated-transformer – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Riedl – A Very Gentle Introduction to LLMs – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- GPT-4 – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- An Overview of Current Debates and Future… – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Fiorucci – Machine Learning for Cultural Heritage – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Lombardi – Deep Learning for Historical Document Analysis and… – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- A Review – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- A Survey – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Using Neural Networks to Study Historical Images – Machine Learning For The Humanities (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
- Van Hooland and Verborg – Semantic Digital Libraries (1) (Lm) (Digital Humanities and Digital Knowledge, esame facoltativo · 6 CFU)
Materie del prof. Giovanni Colavizza
Machine Learning For The Humanities (1) (Lm) Canale unico
Corso di laurea: Digital Humanities and Digital Knowledge · Laurea magistrale (LM-43) · esame facoltativo · 6 CFU
Il docente indica 10 testi · da studiare tutti
Bacheca del docente: cosa indica di studiare
- The materials will be provided via GitHub. The students are expected to take their own notes.
Semantic Digital Libraries (1) (Lm) Canale unico
Corso di laurea: Digital Humanities and Digital Knowledge · Laurea magistrale (LM-43) · esame facoltativo · 6 CFU
Il docente indica 1 testo
Bacheca del docente: cosa indica di studiare
Semantic Digital Libraries (1) (Lm) Canale unico
Corso di laurea: Filologia, letteratura e tradizione classica · Laurea magistrale (LM-15) · esame facoltativo · 6 CFU
Il docente indica 1 testo
Bacheca del docente: cosa indica di studiare
Domande frequenti
Quali libri consiglia il prof. Giovanni Colavizza per Machine Learning For The Humanities (1) (Lm)?
Zhang et al., Dive Into Deep Learning, MIT; Allamar, Jay, The Illustrated Transformer, 2018. https://jalammar.github.io/illustrated-transformer; Riedl – A Very Gentle Introduction to LLMs; GPT-4; An Overview of Current Debates and Future…; Fiorucci – Machine Learning for Cultural Heritage; Lombardi – Deep Learning for Historical Document Analysis and…; A Review; A Survey; Using Neural Networks to Study Historical Images
Quali libri consiglia il prof. Giovanni Colavizza per Semantic Digital Libraries (1) (Lm) (Digital Humanities and Digital Knowledge, canale unico)?
Van Hooland and Verborg
Quali libri consiglia il prof. Giovanni Colavizza per Semantic Digital Libraries (1) (Lm) (Filologia, letteratura e tradizione classica, canale unico)?
Van Hooland and Verborg