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		<title>Programmare i sistemi di machine learning nel linguaggio Pyton</title>
		<link>https://www.unionegeometri.com/programmare-i-sistemi-di-machine-learning-nel-linguaggio-pyton/</link>
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		<dc:creator><![CDATA[Mauro Melis]]></dc:creator>
		<pubDate>Thu, 16 Feb 2023 07:57:34 +0000</pubDate>
				<category><![CDATA[Professionisti]]></category>
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		<category><![CDATA[Pyton]]></category>
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					<description><![CDATA[<p>Programmare i sistemi di machine learning nel linguaggio Pyton. L&#8217;applicazione di tecniche di machine learning e intelligenza artificiale nella progettazione di case può portare a molteplici benefici, tra cui una maggiore efficienza del processo di progettazione, una riduzione dei costi e un miglioramento della qualità del risultato finale. Una possibile applicazione potrebbe essere l&#8217;utilizzo di [&#8230;]</p>
<p>L'articolo <a href="https://www.unionegeometri.com/programmare-i-sistemi-di-machine-learning-nel-linguaggio-pyton/">Programmare i sistemi di machine learning nel linguaggio Pyton</a> proviene da <a href="https://www.unionegeometri.com">Unione Geometri</a>.</p>
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										<content:encoded><![CDATA[<p><strong>Programmare i sistemi di machine learning nel linguaggio Pyton</strong>. L&#8217;applicazione di <a href="https://www.unionegeometri.com/machine-learning/">tecniche di machine learning</a> e intelligenza artificiale nella progettazione di case può portare a molteplici benefici, tra cui una maggiore efficienza del processo di progettazione, una riduzione dei costi e un miglioramento della qualità del risultato finale.</p><p>Una possibile applicazione potrebbe essere l&#8217;utilizzo di algoritmi di clustering per suddividere i dati di input relativi alle preferenze dei clienti in categorie omogenee. In questo modo, gli architetti e i progettisti potrebbero ottenere una migliore comprensione dei desideri dei loro clienti e creare soluzioni personalizzate più efficienti.</p><p>L&#8217;utilizzo di reti neurali potrebbe aiutare nella creazione di modelli di simulazione che consentono di valutare l&#8217;impatto di diverse scelte di progettazione sulla funzionalità e sulla sostenibilità della casa.</p><h2 class="wp-block-heading">Che cosa è il linguaggio Pyton? E come è possibile programmare i sistemi di machine learning utilizzando il suo linguaggio.</h2><div class="index-article">
<ol>
<li><a href="#programmare">Programmare i sistemi di machine learning nel linguaggio Pyton</a></li>
<li><a href="#vuoi">Vuoi apprendere i segreti dell&#8217;intelligenza artificiale e del machine learning e avviarti verso la professione di machine learning engineer?</a></li></ol>
</div><p>Python è un linguaggio di programmazione ad alto livello, interpretato e general-purpose. Creato nel 1991 dal programmatore olandese Guido van Rossum, Python è diventato uno dei linguaggi di programmazione più popolari al mondo.</p><p>Noto per la sua sintassi pulita e facile da leggere, che lo rende un linguaggio di programmazione adatto sia ai principianti che agli esperti, Pyton offre inoltre una vasta gamma di librerie e framework che lo rendono ideale per una vasta gamma di applicazioni, tra cui lo sviluppo di applicazioni web, l&#8217;analisi dei dati, il machine learning, l&#8217;intelligenza artificiale, la creazione di script e molto altro.</p><a class="anchor-article" name="programmare"></a><h3 class="wp-block-heading">Programmare i sistemi di machine learning nel linguaggio Pyton</h3><p>Python è uno dei linguaggi di programmazione più utilizzati per lo sviluppo di sistemi di machine learning. Esistono numerose librerie e framework Python specificamente progettati per la creazione di modelli di machine learning, come ad esempio:</p><ul class="wp-block-list"><li><strong>Scikit-learn</strong>: una libreria Python open-source per machine learning, offre un&#8217;ampia gamma di algoritmi di apprendimento automatico, tra cui regressione, classificazione, clustering e altro ancora.</li><li><strong>TensorFlow:</strong> un framework di machine learning open-source sviluppato da Google, utilizzato per la creazione di modelli di deep learning, inclusi i modelli di reti neurali.</li><li><strong>PyTorch</strong>: un altro framework di machine learning open-source utilizzato per la creazione di modelli di deep learning. PyTorch è noto per la sua facilità d&#8217;uso e la sua capacità di elaborare grandi quantità di dati.</li><li><strong>Keras</strong>: un framework di deep learning open-source che può essere eseguito su TensorFlow, Theano e CNTK. Keras è noto per la sua semplicità d&#8217;uso e la sua capacità di creare modelli di deep learning di alta qualità in modo efficiente.</li></ul><p>La programmazione di un <strong>sistema di machine learning in Python</strong> comporta la definizione del modello di apprendimento automatico, l&#8217;elaborazione dei dati di input, l&#8217;addestramento del modello utilizzando i dati di addestramento, la valutazione delle prestazioni del modello e la previsione dei risultati su nuovi dati. </p><p>Python offre numerose funzionalità per aiutare a implementare queste fasi, tra cui strutture dati, algoritmi, librerie, framework e funzionalità di visualizzazione dei dati, parliamo di un linguaggio di programmazione altamente adatto alla programmazione di <strong>sistemi di machine learning</strong> grazie alla sua flessibilità, la sua vasta comunità di sviluppatori, la sua facilità d&#8217;uso e le numerose librerie e framework di <strong>machine learning</strong> disponibili.</p><a class="anchor-article" name="vuoi"></a><h3 class="wp-block-heading">Vuoi apprendere i segreti dell&#8217;intelligenza artificiale e del machine learning e avviarti verso la professione di machine learning engineer?</h3><div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex"><div class="wp-block-button has-custom-width wp-block-button__width-100"><a class="wp-block-button__link has-background" href="https://www.unioneprofessionisti.com/corsi-di-formazione-in-e-learning/corso-online-di-intelligenza-artificiale-e-machine-learning/" style="border-radius:50px;background-color:#d5a500" target="_blank" rel="noreferrer noopener"><strong>Corso Intelligenza Artificiale e Machine Learning </strong>in OFFERTA PROMO</a></div></div><p>L'articolo <a href="https://www.unionegeometri.com/programmare-i-sistemi-di-machine-learning-nel-linguaggio-pyton/">Programmare i sistemi di machine learning nel linguaggio Pyton</a> proviene da <a href="https://www.unionegeometri.com">Unione Geometri</a>.</p>
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