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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\"> \u003Cspan class=\"text-color-primary-400\">Machine Learning\u003C/span> : i primi passi e la Regressione Lineare\u003C/h1>\n","\u003Cp class=\"font-size-body-1 text-color-grey-800\">Modulo pratico che introduce la regressione lineare, il primo algoritmo di Machine Learning, con teoria, funzione di costo ed esercitazione hands-on.\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Questo modulo rappresenta il primo approccio pratico al Machine Learning attraverso lo studio della regressione lineare, uno degli algoritmi fondamentali. Vengono spiegati i concetti teorici della regressione lineare e della funzione di costo per valutare le performance del modello. Il modulo include un’esercitazione pratica che permette di implementare e sperimentare direttamente con l’algoritmo appreso.\u003C/p>\n",{"title":789,"list":790,"link":783},"DOMANDE FREQUENTI",[791,794,797,800,803,806],{"title":792,"text":793},"Quali competenze sono necessarie per seguire il modulo Machine Learning: i primi passi e la Regressione Lineare?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Per seguire il modulo Reinforcement Learning non sono necessarie competenze preliminari.\u003C/span>\u003C/p>\n",{"title":795,"text":796},"Quali sono i principali argomenti trattati nel modulo \"Machine Learning: i primi passi e la Regressione Lineare\"?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Il modulo introduce uno dei modelli fondamentali del machine learning: la regressione lineare. Vengono spiegati in modo pratico il funzionamento del modello, il concetto di funzione di costo e il suo ruolo nell’ottimizzazione. Il modulo include un’esercitazione guidata per applicare i concetti appresi su dati reali.\u003C/span>\u003C/p>\n",{"title":798,"text":799},"Quali nozioni principali posso apprendere al termine del modulo \"Machine Learning: i primi passi e la Regressione Lineare\"?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Alla fine del modulo sarai in grado di comprendere e applicare la regressione lineare, interpretare i suoi risultati e utilizzare la funzione di costo per valutare e migliorare le prestazioni del modello. Avrai inoltre acquisito una prima esperienza pratica nello sviluppo e nella validazione di modelli predittivi.\u003C/span>\u003C/p>\n",{"title":801,"text":802},"Al termine del modulo sono previsti un esame finale e una certificazione?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">L’esame finale e la certificazione sono previsti per i corsi Data Masters, non per i singoli moduli.\u003C/span>\u003C/p>\n",{"title":804,"text":805},"Il materiale del modulo è scaricabile? Posso rivedere le lezioni?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Tutti i materiali (slide, materiale per esercitazioni, ecc.) sono scaricabili, mentre tutte le lezioni possono essere riviste in qualsiasi momento.\u003C/span>\u003C/p>\n",{"title":807,"text":808},"In caso di dubbi e domande, è disponibile assistenza da parte dei docenti?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Certamente, durante il modulo “Machine Learning: i primi passi e la Regressione Lineare” è disponibile assistenza continua da parte dei nostri docenti per qualsiasi dubbio o domanda.\u003C/span>\u003C/p>\n",[810,813,817,820],{"icon":811,"caption":71,"text":812},"icon-level","Da Beginner ad Advanced",{"icon":814,"caption":815,"text":816},"icon-round-check","PREREQUISITI","Nessun Prerequisito",{"icon":818,"caption":70,"text":819},"icon-calendar","28 minuti",{"icon":821,"caption":822,"text":823},"icon-lessons","LEZIONI","100% on demand",[825],{"title":745,"items":826},[827,830,832],{"title":828,"text":829},"La Regressione Lineare","\u003Cp>\u003Cspan class=\"text-color-grey-700\">Nessun dettaglio\u003C/span>\u003C/p>\n",{"title":831,"text":829},"La Funzione di Costo",{"title":833,"text":829},"Esercitazione sulla Regressione Lineare",{"list":835,"intro":878},[836],{"id":322,"date":837,"title":319,"description":838,"url":320,"image":839,"duration":847,"prerequisite":848,"regular_price":849,"taxonomies":850,"level":271,"type":169},"2024-08-15T08:03:04+02:00","Il Data Scientist Starter Kit è un percorso formativo incrementale per acquisire le skills fondamentali che caratterizzano le figure professionali più richieste dal mercato e ti permettono di iniziare la tua carriera nella Data Science, partendo da zero.",{"id":840,"title":841,"filename":842,"filesize":843,"url":844,"alt":54,"description":54,"caption":54,"mime_type":748,"width":845,"height":846},26780,"dssk","dssk.jpg",250065,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/dssk.jpg",1280,720,"6 settimane","Nessuno","197€",{"type":851,"level":853,"price":855,"skill":857,"cat":876},[852],"corsi",[854],"intermedio",[856],"0-200",[858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875],"fondamenti-di-machine-learning","scikit-learn","regressione-lineare","matplotlib","numpy","programmazione-funzionale","plotly","seaborn","model-interpretability","programmazione-procedurale","programmazione-oop","statistica","data-processing","data-storytelling","knn","probabilita","pandas","python",[877],"data-science","\u003Ch3 style=\"text-align: center;\">PUOI TROVARE\u003Cbr />\nQUESTO \u003Cspan class=\"text-color-primary-400\">MODULO DIDATTICO\u003C/span> IN\u003C/h3>\n",1777976856932]