{"id":2436,"date":"2017-08-29T09:02:27","date_gmt":"2017-08-29T09:02:27","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=2436"},"modified":"2019-11-20T03:23:07","modified_gmt":"2019-11-20T03:23:07","slug":"10-inspiring-women-in-data-science","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/it\/10-inspiring-women-in-data-science\/","title":{"rendered":"10 donne ispiratrici nella scienza dei dati da seguire su Twitter"},"content":{"rendered":"
Circa tre anni fa, Claudia Perlich, Chief Scientist di Dstillery,\u00a0ha scritto <\/a>che le donne nella scienza dei dati dovrebbero essere pi\u00f9 visibili e dovrebbero partecipare attivamente a piattaforme attraverso le quali possono essere viste e ascoltate. A segnalare<\/a> di NCWIT ci d\u00e0 i numeri - dal 1991, il numero di donne nell'informatica \u00e8 diminuito, ma il numero di donne in altri campi scientifici \u00e8 aumentato significativamente. Oggi, le donne stanno diventando pi\u00f9 prominenti nel mondo della scienza dei dati e dell'analisi, prendendo il posto di alcuni dei pi\u00f9 influenti scienziati di dati del mondo.<\/div>\n
Da fondatori e imprenditori a direttori e consulenti, ecco una lista di donne ispiratrici nella scienza dei dati.<\/div>\n
1. Hilary Mason<\/strong>
\nFondatore di Fast Forward Labs, un'azienda che aiuta le organizzazioni ad accelerare le loro capacit\u00e0 di data science e machine intelligence. Anche scienziato in residenza presso Accel (ex Accel Partners).<\/div>\n
Segui Hilary Mason su Twitter<\/a><\/div>\n
2. Monica Rogati<\/strong>
\nConsulente indipendente per la scienza dei dati e l'intelligenza artificiale per una dozzina di aziende, ex vicepresidente dei dati presso Jawbone, docente ospite all'Universit\u00e0 di Stanford.<\/div>\n
Segui Monica Rogati su Twitter<\/a><\/div>\n
3. Julia Silge<\/strong>
\nData Scientist presso Stack Overflow, con un background in fisica, astronomia e istruzione. Co-autore del libro \"Text mining with R\".<\/div>\n
Segui Julia Silge su Twitter<\/a><\/div>\n
\n
4. Renee M.P. Teate<\/strong>
\nGestisce un popolare blog sul suo viaggio nella scienza dei dati, creatore del podcast 'Becoming a Data Scientist', condivide regolarmente consigli e risorse per coloro che cercano di diventare scienziati dei dati.\u00a0<\/span><\/div>\n<\/div>\n
\n
Segui Renee Teate su Twitter<\/a><\/div>\n<\/div>\n
5. Elena Grewal<\/strong>
\nResponsabile della scienza dei dati di Airbnb, dottorando nel programma di economia dell'educazione alla Stanford University School of Education. attivo sostenitore della diversit\u00e0 nella tecnologia.<\/div>\n
Segui Elena Grewal su Twittter<\/a><\/div>\n
6. Fei-Fei Li\u00a0<\/strong>
\nChief Scientist, Machine Learning and Intelligenza artificiale<\/a> at Google Cloud, Professor of Computer Science at Stanford University, Director, Stanford AI Lab.\u00a0<\/span><\/div>\n
Segui Fei-Fei Li su Twitter<\/a><\/div>\n
7. Carla Gentry
\n<\/strong>Data Scientist con 15 anni di esperienza, fondatore di Analytical Solution, ha lavorato con Johnson & Johnson, Hershey, Kraft, Kellogg's e Firesto.<\/div>\n
Segui Carla Gentry su Twitter<\/a><\/div>\n
8. Claudia Perlich<\/strong>
\nChief Scientist di Dstillery; progetta, sviluppa e ottimizza l'apprendimento automatico che guida la pubblicit\u00e0 digitale; ha pubblicato oltre 50 articoli scientifici e detiene diversi brevetti; relatore attivo nel settore.<\/div>\n
\n

Segui Claudia Perlich su Twitter<\/a><\/p>\n

9. Megan Price
\n<\/strong>Direttore esecutivo dello Human Rights Data Analysis Group; progetta strategie e metodi per l'analisi statistica dei dati sui diritti umani per progetti in luoghi come Guatemala, Colombia e Siria.<\/p>\n<\/div>\n

Segui il gruppo di analisi dei dati sui diritti umani su Twitter<\/a><\/span><\/div>\n
10. Yael Garten
\n<\/strong><\/span>Direttore, Siri Data Science and Analytics presso Apple, ed ex direttore di Data Science, LinkedIn; dottorato in informatica biomedica all'Universit\u00e0 di Stanford; frequente relatore alle conferenze e appassionato della crescita delle donne nelle STEM<\/div>\n
Segui Yael Garten su Twitter<\/a><\/span><\/div>\n
\n
11. Caitlin Smallwood<\/strong><\/div>\n
Anche se non su Twitter, questo elenco non sarebbe completo senza la menzione di Caitlin Smallwood, vicepresidente, Science and Algorithms di Netflix. Ha un background nei prodotti Internet (Netflix, Yahoo, Intuit) e nella consulenza matematica (PwC, SRA), ed \u00e8 specializzata in analitica, strategia dei dati, sistemi di raccomandazione, esperimenti controllati e altro.<\/div>\n<\/div>\n
\n
Conosci altre donne nella scienza dei dati che dovrebbero essere su questa lista? Scrivici a contact@kolabtree.com o mandaci un tweet!<\/div>\n<\/div>\n
—–
\nKolabtree ha pi\u00f9 di 5000 scienziati e ricercatori freelance, inclusi analisti di dati, provenienti da istituzioni come il MIT, Harvard, Stanford e altre. Pubblicare il tuo progetto \u00e8 gratuito! Iniziare<\/a>.<\/div>\n
<\/div>","protected":false},"excerpt":{"rendered":"

About three years ago, Claudia Perlich, Chief Scientist at Dstillery,\u00a0wrote that women in data science should be more visible and should actively participate in platforms through which they can be seen and heard. A report by NCWIT gives us the numbers – since 1991, the number of women in computing has been declining, but the<\/p>\n

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