27th Interview on the Chai Time Data Science Podcast
Personal Note: I'm extremely excited and really honoured to share this interview! Jeremy and fast.ai have been my greatest life experiences and gurus so I'm really grateful that I get to share this interview.
In this episode, Sanyam Bhutani interviews Jeremy Howard: Co-Founder at fast.ai and Guru to the complete fast.ai community.
They talk all about Jeremy's journey into through the field as a Consultant to Founder to Kaggle Rank 1 followed by founding fast.ai.
They also discuss all about the fast.ai forums: The research that goes into it, how Jeremy and Sylvain collaborate on research and how the course is prepared.
- Interview with Sylvain Gugger
- Interview with Jason Antic (Creator of DeOldify):
Show Notes and Timings:
3:10- College and Management Consulting
9:43: Programming Career
11:12 Career as Founder
26:38: Investing to Kaggle and Role as President
28:31 Funding Enlitic and ML in Medical Domain
34:43 Founding fast.ai
38:03 Journey as an Educator
41:02 Devolopment of the course
44:08 How does research at fast.ai happen?
48:32 Tenacity in ML
50:33 Finding Obscure Papers
53:29 Writing the library
53:03 fast.ai Book
56:03 Collaborating with Sylvain
59:14 Which version of the course should we take?
1:02:57 How does Jeremy spend half of the day on learning?
1:05:46 How does Jeremy learn ML?
1:14:38 Favourite Student Project