Welcome to the Code to the podcast.

We talk to people on their coding journey in hopes of helping you on yours.

I'm your host, Ron, and today we're talking about some of the fundamentals of machine learning and AI with Oscar Baybaum, co-founder of Nickel.

Now you're in the business of like when your model starts, like, performing worse,

and, like, pulling in new data that is, like, represented of the new distribution and training on that.

Oscar talks about the difference between machine learning and AI,

what it traditionally takes to integrate machine learning into your code,

and how using a tool like nickel can help you in your learning journey. After this.

Thanks so much for being here.

Thanks for having me.

So before we get into machine learning and AI and all the stuff you're doing at

Nicol, tell us about how you first started to code.

Yeah, I mean, I'm old enough where we were like the first people on the block to have a computer at all like my dad's brother

worked at like ibn or something so he got us a cheaper computer so this was like really early

it was basic the program language was called basic like you could basically all you could do is

write something like a little prompt and then have the player answer, you know, a question yes or no.

So it's sort of like role-playing games where you were sort of navigates some sort of, well,

that the game designer had developed.

So I know that you have a lot of traditional schooling and computer science and engineering under your belt.

Can you talk about that part of your life?

Yeah. I mean, so I don't really consider myself a programmer still. I mean, I've done it

24-7, I would say, the last 10 years or so. But I mean, my background is in engineering physics.

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