1.0University Posthttps://uniavisen.dk/en/MIGRATED_ARTICLES FROM_OLD_SITEhttps://uniavisen.dk/en/author/migrated_articles/Big data, big challenges, big hopesrich600338<blockquote class="wp-embedded-content" data-secret="hb5hHWRyRJ"><a href="https://uniavisen.dk/en/big-data-big-challenges-big-hopes/">Big data, big challenges, big hopes</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://uniavisen.dk/en/big-data-big-challenges-big-hopes/embed/#?secret=hb5hHWRyRJ" width="600" height="338" title="“Big data, big challenges, big hopes” — University Post" data-secret="hb5hHWRyRJ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://uniavisen.dk/wp-content/uploads/2014/09/bigdata_0.jpg25601707Machine learning promises to help us understand climate changes, monitor threatened animals, improve quality of life, and in general increase our knowledge of society. Head of Google Research, NY, and University of Copenhagen honorary alumni believes there are huge opportunities in Big Data