{"id":2711,"date":"2017-11-27T11:29:48","date_gmt":"2017-11-27T11:29:48","guid":{"rendered":"https:\/\/blog.kolabtree.com\/?p=2711"},"modified":"2017-11-27T16:02:48","modified_gmt":"2017-11-27T16:02:48","slug":"nine-insightful-data-science-news-articles","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/it\/nine-insightful-data-science-news-articles\/","title":{"rendered":"Nove perspicaci articoli di notizie sulla scienza dei dati di novembre 2017"},"content":{"rendered":"

November has been an exciting month for data science: we’ve seen some incredible data visualizations from around the world, we’ve seen the world’s first AI politician come into existence, and we’ve got analytics finding application in every field from assistenza sanitaria<\/a> to cosmetics. Here are some of the most insightful data science news articles from November 2017, covering AI, machine learning and analytics.<\/p>\n

 <\/p>\n

1. Perditi in questa visualizzazione di problemi globali interconnessi <\/a>
\nSulla nuova piattaforma di visualizzazione dei dati del World Economic Forum, 'Transformation Maps'. <\/em>
\nRobbie Gonsalez, WIRED
\nGuarda l'incredibile piattaforma qui: https:\/\/toplink.weforum.org\/knowledge\/explore<\/p>\n

2. Questo politico virtuale vuole candidarsi<\/a>
\nIl primo politico AI della Nuova Zelanda, che comunica attraverso Facebook messenger, promette di prendere decisioni senza pregiudizi\u00a0<\/em>
\nMeg Wagner, CNN<\/p>\n

3. Quattro chiavi per costruire la tua funzione di scienza dei dati da DJ Patil, il nuovo consigliere di DataScience.com<\/a>
\nI consigli degli esperti del primo Chief Data Scientist statunitense\u00a0<\/em>
\nEverett Harper, Forbes<\/p>\n

4. Come le analisi di oggi cambiano il reclutamento<\/a>
\nL'impatto dei grandi dati sulle risorse umane <\/em>
\nLisa Morgan, InformationWeek<\/p>\n

5. Data storytelling fatto bene: 8 semplici consigli per evitare una cattiva visualizzazione<\/a>
\nEvitare l'avocado, cercare di non usare grafici a torta e altri consigli su come rendere i dati belli\u00a0<\/em>
\nSteve Carufel, Blog di giornalismo online<\/p>\n

6. Come il machine learning sta aiutando i neuroscienziati a capire il cervello
\n<\/a>Un esperto sostiene che la neuroscienza sta usando le metafore sbagliate<\/em>
\nDaniel Bear, Massive<\/p>\n

7. Il problema del bitcoin e dei grandi dati \u00e8 l'enorme bolletta energetica<\/a>
\nL'energia consumata dalle massicce server farm dei giganti di internet e il mining delle criptovalute stanno diventando un gigantesco mal di testa ambientale<\/em>
\nJohn Naughton, The Guardian<\/p>\n

8. Un nuovo strumento quantifica lo squilibrio di potere tra personaggi femminili e maschili nei film di Hollywood<\/a>
\nUno strumento che pu\u00f2 analizzare i pregiudizi di genere nei film<\/em>
\nJennifer Langston, Notizie dell'Universit\u00e0 di Washinton<\/p>\n

9. T-HR3: Il nuovo robot telecomandato di Toyota<\/a>
\nIl robot umanoide di terza generazione di Toyota\u00a0<\/em>
\nBlog Toyota<\/p>\n

Hai altri articoli che vorresti condividere? Aggiungili nei commenti qui sotto o Twittaci<\/a>!
\n——-
\nKolabtree mira a mettere in contatto aziende e organizzazioni con scienziati di dati freelance di tutto il mondo. Mettiti in contatto con un esperto di scienza dei dati<\/a> oggi.<\/p>","protected":false},"excerpt":{"rendered":"

November has been an exciting month for data science: we’ve seen some incredible data visualizations from around the world, we’ve seen the world’s first AI politician come into existence, and we’ve got analytics finding application in every field from healthcare to cosmetics. Here are some of the most insightful data science news articles from November<\/p>\n

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