Machine Learning for Genomics

FromLinear Digressions

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Machine Learning for Genomics

FromLinear Digressions

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Length:

20 minutes

Released:

Jul 25, 2016

Format:

Podcast episode

Description

Genomics data is some of the biggest #bigdata, and doing machine learning on it is unlocking new ways of thinking about evolution, genomic diseases like cancer, and what really makes each of us different for everyone else. This episode touches on some of the things that make machine learning on genomics data so challenging, and the algorithms designed to do it anyway.

Released:

Jul 25, 2016

Format:

Podcast episode

Titles in the series (100)

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.

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Machine Learning for Genomics

Machine Learning for Genomics

Description

Titles in the series (100)

More Episodes from Linear Digressions

Related podcast episodes