Behrad Khodayar

Over the past 2 yrs, I was working on a SaaS ML project & got very interested in ML/DL/AI. As everybody else, there were some normal paths I took to build a solid understanding of the field, but sth never clicked the way I'm used to. I'm very fond of learning "why"s & never get satisfied w/ simply knowing "what" is what. Tho, the problem w/ ML was that I wasn't there when it was evolving & algos/methodologies as we know them today were forming. I didn t want a pile of summaries or wikis or endless threads of chatting w/ AI. Then I thought listening to podcasts would fix it for me. But not as they are being published now (2026). I thought I'd learn about the history of ML from podcasts that covered it as it happened, kinda simulating the experience of living through the events, in chronological order, since 2015.