In this episode, Sanyam Bhutani interviews Andrew Shaw. In this interview, they talk all about Andrew's journey into the field, his fast.ai journey, and his recent project: musicautobot. MusicAutobot is an "AI Pop Music Generator". They also briefly talk about the fast.ai DAWNBench results.

Links: 

https://musicautobot.com/

fast.ai DAWNBench: https://www.fast.ai/2018/08/10/fastai-diu-imagenet/

https://www.fast.ai/2018/04/30/dawnbench-fastai/

Blogposts:

Part 1: https://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382a

Part 2: https://towardsdatascience.com/practical-tips-for-training-a-music-model-755c62560ec2

Part 3: https://towardsdatascience.com/a-multitask-music-model-with-bert-transformer-xl-and-seq2seq-3d80bd2ea08e

Part 4: https://towardsdatascience.com/how-to-remix-the-chainsmokers-with-a-music-bot-6b920359248c

Follow:

Andrew Shaw:

https://twitter.com/bearpelican

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience