April 2025
Intermediate to advanced
400 pages
11h 13m
Italian
Content preview from Introduzione al Machine Learning con Python
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Capitolo 2. Apprendimento supervisionato
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Come abbiamo detto in precedenza, l'apprendimento automatico supervisionato è uno dei tipi di apprendimento automatico più utilizzati e di successo. In questo capitolo descriveremo l'apprendimento supervisionato in modo più dettagliato e spiegheremo diversi algoritmi di apprendimento supervisionato popolari. Abbiamo già visto un'applicazione dell'apprendimento automatico supervisionato nel Capitolo 1: classificare i fiori di iris in diverse specie utilizzando le misure fisiche dei fiori.
Ricorda che l'apprendimento supervisionato viene utilizzato ogni volta che vogliamo prevedere un certo risultato da un dato input e abbiamo esempi di coppie input/output. Costruiamo un modello di apprendimento automatico a partire da queste coppie di input/output, che costituiscono il nostro set di addestramento. Il nostro obiettivo è fare previsioni accurate su dati nuovi, mai visti prima. L'apprendimento supervisionato spesso richiede uno sforzo umano per costruire il set di addestramento, ma in seguito automatizza e spesso velocizza un compito altrimenti laborioso o impossibile.
2.1 Classificazione e regressione
Esistono due tipi principali di problemi di apprendimento automatico supervisionato, chiamati classificazione e regressione.
Nella classificazione, l'obiettivo è prevedere un'etichetta di classe, ovvero ...
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