Today I had the pleasure of interviewing Serg Masis. Serg is a Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security, and a bestselling author of "Interpretable Machine Learning with Python", and upcoming "DIY AI". Before that, he had a prior career in entrepreneurship, web and app development, and analytics for over fifteen years. He's passionate about improving decision-making with data, learning by building AI systems from scratch, and empowering others that wish to do the same. In this episode Serg teaches me all about how data science has changed how food is grown, we also touch on the recent advancements in AI and their implications on DIY AI. 

Serg's Links: 
LinkedIn: linkedin.com/in/smasis
Twitter: https://twitter.com/smasis
Website: https://www.serg.ai/
GitHub: https://github.com/smasis001
Mastodon: https://mastodon.social/@smasis@masto.ai
Serg's Book: https://amzn.to/3GgpHHA