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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\">Algebra \u003Cspan class=\"text-color-primary-400\">lineare\u003C/span>\u003C/h1>\n","\u003Cp class=\"font-size-body-1 text-color-grey-800\">Esplorazione di algebra lineare per Data Science e Machine Learning.\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Questo modulo ci accompagna nel mondo dell’algebra lineare dove matematica e geometria si incontrano e ci offrono strumenti fondamentali per ogni Data Scientist e di cui il Machine Learning fa ampiamente uso. Partiamo allora dall’esplorazione degli scalari, piccoli elementi che aprono le porte all’universo dei vettori, che capiremo cosa sona dapprima con una definizione più semplice e “informatica” e che successivamene impareremo a trattare in modo più formale, imparando ad interpretarli geometricamente con enti matematici a più dimensioni, così da immergerci nelle operazioni essenziali che li caratterizzano. Proseguendo, esploriamo il territorio delle matrici, apprendendo le loro operazioni fondamentali e aprendoci al concetto intrigante dei tensori che estendo il concetto di matrici in un universo a n dimensioni. Passeremo poi a studiare i sistemi di equazioni, facendo un piccolo recap propedeutico sul concetto di equazioni lineare e non, per poi focalizzare la nostra attenzione sui sistemi di equazioni lineari, strumenti importantissimi per il Machine Learning e la Data Science. Infine mettere assieme i pezzi del puzzle e studieremo la rappresentazione matriciale dei sistemi di equazioni lineari, fondamentali per lo studio di sistemi molto complessi e per molte applicazioni pratiche nel campo del Machine Learning.\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 Algebra Lineare?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Per seguire questo modulo non sono necessarie competenze preliminari specifiche."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">Per seguire questo modulo non sono necessarie competenze preliminari specifiche.\u003C/span>\u003C/p>\n",{"title":795,"text":796},"Quali sono i principali argomenti trattati nel modulo Algebra Lineare?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Il modulo Algebra Lineare copre i seguenti argomenti principali: Scalari, Vettori, Operazioni tra vettori, Matrici, Tensori, Sistemi di equazioni."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">Il modulo Algebra Lineare copre i seguenti argomenti principali: Scalari, Vettori, Operazioni tra vettori, Matrici, Tensori, Sistemi di equazioni.\u003C/span>\u003C/p>\n",{"title":798,"text":799},"Quali nozioni principali posso apprendere al termine del modulo Algebra Lineare?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Al termine del modulo Algebra Lineare sarai in grado di comprendere e applicare concetti di algebra lineare, utilizzando scalari, vettori, matrici e tensori per risolvere sistemi di equazioni lineari, con una comprensione approfondita della rappresentazione matriciale e delle operazioni fondamentali essenziali per il Machine Learning e la Data Science."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":0,"15":"Arial"}\">Al termine del modulo Algebra Lineare sarai in grado di comprendere e applicare concetti di algebra lineare, utilizzando scalari, vettori, matrici e tensori per risolvere sistemi di equazioni lineari, con una comprensione approfondita della rappresentazione matriciale e delle operazioni fondamentali essenziali per il Machine Learning e la Data Science.\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\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Sì, al termine del modulo Algebra Lineare sono previsti un esame finale e una certificazione."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">\u003Cspan data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"L'esame finale e la certificazione sono previsti per i corsi Data Masters, non per i singoli moduli."}\" data-sheets-userformat=\"{"2":4482,"4":{"1":2,"2":14281427},"10":2,"11":4,"15":"Arial"}\">L’esame finale e la certificazione sono previsti per i corsi Data Masters, non per i singoli moduli.\u003C/span>\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\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Certamente, durante il modulo Algebra Lineare è disponibile assistenza continua da parte dei nostri docenti per qualsiasi dubbio o domanda."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">Certamente, durante il modulo Algebra 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","3 ore",{"icon":821,"caption":822,"text":823},"icon-lessons","LEZIONI","100% on demand",[825],{"title":826,"items":827},"Algebra Lineare",[828,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861],{"title":829,"text":830},"Introduzione","\u003Cp>\u003Cspan class=\"text-color-grey-700\">Nessun dettaglio\u003C/span>\u003C/p>\n",{"title":832,"text":830},"Scalari",{"title":834,"text":830},"Vettori - Introduzione",{"title":836,"text":830},"Vettori - Vettore come ente geometrico pt.1",{"title":838,"text":830},"Vettori - Vettore come ente geometrico pt.2",{"title":840,"text":830},"Vettori - Vettore come ente geometrico pt.3",{"title":842,"text":830},"Operazioni tra vettori - Somma e Sottrazione",{"title":844,"text":830},"Operazioni tra vettori - Prodotto tra vettore e scalare",{"title":846,"text":830},"Operazioni tra vettori -  Prodotto scalare e altri prodotti",{"title":848,"text":830},"Matrici - Introduzione",{"title":850,"text":830},"Operazioni con le matrici - Somma e Sottrazione",{"title":852,"text":830},"Operazioni con le matrici - Prodotto con scalare e Prodotto tra matrici",{"title":854,"text":830},"Tensori",{"title":856,"text":830},"Tensori - esempio pratico",{"title":858,"text":830},"Sistemi di equazioni - Introduzione",{"title":860,"text":830},"Sistemi di equazioni - Cosa sono",{"title":862,"text":830},"Sistemi di equazioni - Rappresentazione Matriciale",{"list":864,"intro":1078},[865,985,1058],{"id":535,"date":866,"title":531,"description":867,"url":533,"image":868,"video_preview":876,"video_poster":877,"video_embed":883,"duration":884,"prerequisite":885,"projects":886,"live":887,"salary":888,"regular_price":889,"offer_price":890,"taxonomies":891,"info":951,"level":271,"type":515},"2025-07-29T10:32:28+02:00","Un Percorso di Carriera avanzato, pratico e strutturato per acquisire le competenze chiave della Data Science e padroneggiare le principali tecniche di Machine Learning per diventare il punto di riferimento nel tuo team.",{"id":869,"title":870,"filename":871,"filesize":872,"url":873,"alt":54,"description":54,"caption":54,"mime_type":748,"width":874,"height":875},27456,"datascientist","datascientist.jpg",229085,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/datascientist.jpg",1600,900,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/data-scientist-loop.mp4",{"id":878,"title":879,"filename":880,"filesize":881,"url":882,"alt":54,"description":54,"caption":54,"mime_type":748,"width":874,"height":875},27484,"datascientist2","datascientist2.jpg",227074,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/datascientist2.jpg","\u003Ciframe src=\"https://player.vimeo.com/video/1101159294?badge=0&autopause=0&player_id=0&app_id=58479&autoplay=1\" frameborder=\"0\" allow=\"autoplay; 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",{"id":1062,"title":1063,"filename":1064,"filesize":1065,"url":1066,"alt":54,"description":54,"caption":54,"mime_type":748,"width":994,"height":995},26791,"mat_stat","mat_stat.jpg",293640,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/mat_stat.jpg","17 Ore","400€",{"type":1070,"level":1072,"price":1073,"skill":1075,"cat":1076},[1071],"corsi",[895],[1074],"0-200",[902,927,931,935,936,942],[1077],"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",1777976837896]