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Casualità in Informatica: come si generano i numeri casuali?
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Manage episode 449339446 series 2531618
Generare numeri casuali in Informatica è un’attività ben più complessa di quanto si possa immaginare. Esistono varie questioni e soluzioni che rendono i vari processi estremamente interessanti. E quindi noi ne parliamo su Pensieri in codice.
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Sostieni utilizzando i link affiliati di Pensieri in codice: Amazon, Todoist, Readwise Reader, Satispay
Sostenitori di oggi: Edoardo Secco, Carlo Tomas
Partner
GrUSP (Codice sconto per tutti gli eventi: community_PIC)Schrödinger Hat
Fonti dell'episodio
https://expertbeacon.com/what-are-the-most-common-numbers-picked-from-1-to-10/https://www.reddit.com/r/dataisbeautiful/comments/acow6y/asking_over_8500_students_to_pick_a_random_number/
https://www.youtube.com/watch?v=SxP30euw3-0
https://www.youtube.com/watch?v=aEJB8IAMMpA&t
https://www.random.org/randomness/
https://it.wikipedia.org/wiki/Generatore_lineare_congruenziale
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0041531
https://machinelearningmastery.com/introduction-to-random-number-generators-for-machine-learning/
Crediti
Sound design - Alex RaccugliaVoce intro - Maria Chiara Virgili
Voce intro - Spad
Musiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memories
Suoni - Zapsplat.com
Cover e trascrizione - Francesco Zubani
253 епізодів
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 28, 2024 15:36 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 449339446 series 2531618
Generare numeri casuali in Informatica è un’attività ben più complessa di quanto si possa immaginare. Esistono varie questioni e soluzioni che rendono i vari processi estremamente interessanti. E quindi noi ne parliamo su Pensieri in codice.
Sostieni il progetto
Sostieni tramite SatispaySostieni tramite Revolut
Sostieni tramite PayPal
Sostieni utilizzando i link affiliati di Pensieri in codice: Amazon, Todoist, Readwise Reader, Satispay
Sostenitori di oggi: Edoardo Secco, Carlo Tomas
Partner
GrUSP (Codice sconto per tutti gli eventi: community_PIC)Schrödinger Hat
Fonti dell'episodio
https://expertbeacon.com/what-are-the-most-common-numbers-picked-from-1-to-10/https://www.reddit.com/r/dataisbeautiful/comments/acow6y/asking_over_8500_students_to_pick_a_random_number/
https://www.youtube.com/watch?v=SxP30euw3-0
https://www.youtube.com/watch?v=aEJB8IAMMpA&t
https://www.random.org/randomness/
https://it.wikipedia.org/wiki/Generatore_lineare_congruenziale
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0041531
https://machinelearningmastery.com/introduction-to-random-number-generators-for-machine-learning/
Crediti
Sound design - Alex RaccugliaVoce intro - Maria Chiara Virgili
Voce intro - Spad
Musiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memories
Suoni - Zapsplat.com
Cover e trascrizione - Francesco Zubani
253 епізодів
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