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 9. Apprendimento per rinforzo
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Gli incentivi guidano quasi tutto, e la finanza non fa eccezione. Gli esseri umani non imparano da milioni di esempi etichettati. Al contrario, spesso impariamo da esperienze positive o negative che associamo alle nostre azioni. L'apprendimento dalle esperienze e dalle relative ricompense o punizioni è l'idea alla base dell'apprendimento per rinforzo (RL).1
L'apprendimento per rinforzo è un approccio per addestrare una macchina a trovare il miglior corso d'azione attraverso politiche ottimali che massimizzano le ricompense e minimizzano le punizioni.
Gli algoritmi di RL che hanno permesso ad AlphaGo (il primo programma informatico a sconfiggere un giocatore umano professionista di Go) stanno facendo breccia anche nella finanza. L'idea principale dell'apprendimento rinforzato di massimizzare le ricompense si allinea perfettamente con diverse aree della finanza, tra cui il trading algoritmico e la gestione del portafoglio. L'apprendimento rinforzato è particolarmente adatto al trading algoritmico, perché il concetto di un agente che massimizza il rendimento in un ambiente incerto e dinamico ha molto in comune con un investitore o una strategia di trading che interagisce con i mercati finanziari. I modelli basati sull'apprendimento rinforzato fanno un passo avanti rispetto alle strategie di trading basate ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.