Podcasts 4: Podcasts for Data Science

So you´re a data scientist with limited spare time, or new to the world of data science.  Welcome to a way of keeping up to date or learning new aspects of data science!

Following on from Podcasts for Developers, we look at Podcasts for Data Science, because podcasts are awesome.

Linear Digressions

Exploring Data Science and Machine Learning, the presenters of Linear Digressions are well informed and relaxed in their approach.

Podcasts are every week, some with guests and others not. Occasionally they go off track and spend the first 10 or 15 minutes in chat, but not every episode!

O'Reilly Data Show

Published every fortnight, the O'Reilly Data Show covers different aspects of big data and data science.

O'Reilly is the company known for publishing many books and videos on learning a variety of technical subjects

Most shows usually have an interview looking at specific technologies, case studies and new developments.

Talking Machines

Focused on Machine Learning, Talking Machines publishes every fortnight and will keep you up to date on this fast/moving world.

The hosts have several sections including news and tech updates, but cover different technical and ethical issues in machine learning and data sciencel

Data Skeptic

One of the better podcasts, Data Skeptic is focused on data and has a more unusual format than other podcasts.

Half of the episode will be an in-depth interview with experts on data-related subjects, while the other half are miini episodes taking you through the basics of data science concepts with the hosts.

The podcasts are published weekly, alternating between the two formats.

Author

Duncan Thomson

A Remote Software and Database Contractor specialised in Umbraco, Duncan works from wherever he finds himself. He is the co-organiser of the Python Exeter and Data Science Exeter meetup groups and speaks about Remote Working, Umbraco, Python and .NET Outside of work he is keen on travel, random generation, foreign languages and good food.

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