April 2025
Intermediate to advanced
400 pages
11h 13m
Italian
Content preview from Introduzione al Machine Learning con Python
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Capitolo 1. Introduzione
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L'apprendimento automatico consiste nell'estrarre conoscenza dai dati. È un campo di ricerca che si trova all'intersezione tra statistica, intelligenza artificiale e informatica ed è noto anche come analisi predittiva o apprendimento statistico. Negli ultimi anni l'applicazione dei metodi di apprendimento automatico è diventata onnipresente nella vita quotidiana. Dai consigli automatici sui film da vedere, al cibo da ordinare o ai prodotti da acquistare, fino alla radio online personalizzata e al riconoscimento dei tuoi amici nelle foto, molti siti web e dispositivi moderni si basano su algoritmi di apprendimento automatico. Quando guardi un sito web complesso come Facebook, Amazon o Netflix, è molto probabile che ogni parte del sito contenga più modelli di apprendimento automatico.
Al di fuori delle applicazioni commerciali, l'apprendimento automatico ha avuto un'enorme influenza sul modo in cui oggi viene svolta la ricerca basata sui dati. Gli strumenti introdotti in questo libro sono stati applicati a diversi problemi scientifici come la comprensione delle stelle, la ricerca di pianeti lontani, la scoperta di nuove particelle, l'analisi delle sequenze di DNA e la fornitura di trattamenti personalizzati contro il cancro.
Per trarre vantaggio dall'apprendimento automatico, tuttavia, non è necessario che la tua applicazione ...
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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.