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The Vocabulary of Big Data

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Konten disediakan oleh Cambridge University. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Cambridge University atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Big Data is everywhere, no matter what you do – from humanities to natural sciences, from social sciences to engineering to medicine. Yet, data on its own, no matter how “Big”, is of little use. Distilling Big Data into actionable, useful information requires a range of tools from mathematics, statistics and computer science, which might appear intimidating when approached for the first time. In these talks, we will introduce the key concepts and ideas which underlie modern analysis of large and complex data sets, in a maths-free manner. Image courtesy of François Quévillon from Flickr Creative Commons
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20 episode

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Seri yang sudah diarsipkan ("Feed tidak aktif" status)

When? This feed was archived on June 16, 2018 02:25 (6+ y ago). Last successful fetch was on April 20, 2018 11:39 (6+ y ago)

Why? Feed tidak aktif status. Server kami tidak mendapatkan feed podcast yang valid secara terus-menerus.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage series 1744869
Konten disediakan oleh Cambridge University. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Cambridge University atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Big Data is everywhere, no matter what you do – from humanities to natural sciences, from social sciences to engineering to medicine. Yet, data on its own, no matter how “Big”, is of little use. Distilling Big Data into actionable, useful information requires a range of tools from mathematics, statistics and computer science, which might appear intimidating when approached for the first time. In these talks, we will introduce the key concepts and ideas which underlie modern analysis of large and complex data sets, in a maths-free manner. Image courtesy of François Quévillon from Flickr Creative Commons
  continue reading

20 episode

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