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Learning Materials - Videos

Here we gather recommended video content for online learning. We are always looking for recommended reading material and videos to help our students and research community with their learning. If you have a good read or video to recommend, please get in touch. Below you will find recommended:

  • YouTube Channels
  • Conference Recordings

 

YouTube Channel: 3blue1brown

Grant Sanderson combines maths and entertainment in his popular YouTube Channel. Some recommended playlists and videos are linked below.

YouTube Channel: Two Minute Papers

Károly Zsolnai-Fehér presents research papers in an accessible two-minute video format in his Two Minute Papers channel. 

YouTube Channel: Socratica

Socratica makes high-quality educational videos on maths and science.

  • Python Programming Tutorials (Computer Science): this playlist will equip you with all you need to know to get started with programming in Python. The first episode is below.
  • Socratica playlists also include astronomy, biology, chemistry and the arts.

Conference recordings: Strange Loop

Recordings from Strange Loop conferences held in St Louis, Missouri, USA are available to watch. From 2014 onwards, the multi-disciplinary conference has brought 'together the developers and thinkers building tomorrow's technology in fields such as emerging languages, alternative databases, concurrency, distributed systems, security, and the web.'

Conference recordings: JuliaCon 2019

Recordings from the JuliaCon 2019 conference held in Baltimore, Maryland, USA are available to watch. 'JuliaCon is the biggest Julia conference of the year, bringing together speakers, developers, and enthusiasts from all over the world'. More about the Julia language.

 

 

Disclaimer:

The collection of material list above is just a selection of learning resources that you may find helpful. C2D3 are not endorsing the resources (e.g. individual videos on YouTube Channels). If there any issues with the above material please let us know.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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