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 2. Sviluppare unmodello di apprendimento automaticoin Python
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Per quanto riguarda le piattaforme utilizzate per l'apprendimento automatico, esistono molti algoritmi e linguaggi di programmazione. Tuttavia, l'ecosistema Python è uno dei linguaggi di programmazione più dominanti e in rapida crescita per l'apprendimento automatico.
Data la popolarità e l'alto tasso di adozione di Python, lo utilizzeremo come linguaggio di programmazione principale in tutto il libro. Questo capitolo fornisce una panoramica di un framework per l'apprendimento automatico basato su Python. In primo luogo, esamineremo i dettagli dei pacchetti basati su Python utilizzati per l'apprendimento automatico, seguiti dalle fasi di sviluppo del modello nel framework Python.
Le fasi di sviluppo del modello in Python presentate in questo capitolo servono come base per i casi di studio presentati nel resto del libro. Il framework di Python può essere utilizzato anche per lo sviluppo di qualsiasi modello basato sull'apprendimento automatico in ambito finanziario.
Perché Python?
Alcuni motivi della popolarità di Python sono i seguenti:
-
Sintassi di alto livello (rispetto ai linguaggi di livello inferiore come C, Java e C++). Le applicazioni possono essere sviluppate scrivendo meno righe di codice, il che rende Python interessante sia per i principianti che per i programmatori ...
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