April 2025
Intermediate to advanced
432 pages
11h 33m
Italian
book
Progetti di machine learning e scienza dei dati per la finanza
by Hariom Tatsat, Sahil Puri, Brad Lookabaugh
Content preview from Progetti di machine learning e scienza dei dati per la finanza
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Capitolo 1. L'apprendimento automatico nella finanza: Il panorama
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L'apprendimento automatico promette di scuotere ampie fasce della finanza
The Economist (2017)
C'è una nuova ondata di machine learning e data science nella finanza e le relative applicazioni trasformeranno il settore nei prossimi decenni.
Attualmente, la maggior parte delle società finanziarie, tra cui hedge fund, banche d'investimento e retail e società fintech, sta adottando e investendo pesantemente nell'apprendimento automatico. In futuro, le istituzioni finanziarie avranno bisogno di un numero crescente di esperti di machine learning e data science.
L'apprendimento automatico in finanza è diventato più importante di recente grazie alla disponibilità di grandi quantità di dati e di una potenza di calcolo più accessibile. L'uso della scienza dei dati e dell'apprendimento automatico sta esplodendo in modo esponenziale in tutti i settori della finanza.
Il successo dell'apprendimento automatico in finanza dipende dalla creazione di un'infrastruttura efficiente, dall'utilizzo del toolkit corretto e dall'applicazione degli algoritmi giusti. I concetti relativi a questi elementi costitutivi dell'apprendimento automatico in finanza sono dimostrati e utilizzati in questo libro.
In questo capitolo forniamo un'introduzione alle applicazioni attuali e future dell'apprendimento automatico ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.