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InvestED: The Rule #1 Investing Podcast

422- Learning AI with Nuno Neves Cordeiro

InvestED: The Rule #1 Investing Podcast

Phil Town & Danielle Town

Investing, Business

4.61.6K Ratings

🗓️ 14 June 2023

⏱️ 20 minutes

🧾️ Download transcript

Summary

Free time is, for many, a precious commodity that there simply never seems to be enough of. How then can those with a goal and a vision for how to achieve it budget and invest their time to pursue that goal? With the speed of technological development and the amount of resources available to anyone who wants to seriously pursue coding, the next society-changing app could always be right around the corner. As problems become more complex, so do the solutions–as well as the tech required to implement them. This week on InvestED, Danielle talks with returning guest Nuno Neves Cordeiro about his journey to becoming an expert in the field of AI, and what that journey had in common with value investing. To find out more about our investing philosophy, check out our NYT best sellers and get the first 2 chapters of each of our audiobooks: https://bit.ly/3N21M18 Topics Discussed: Learning to code Understanding and applying algorithms Process vs results Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

Hi everybody and welcome to Invested. I'm Danielle Town. Quick little vignette with Nuno today

0:15.1

because we're going to get into the how to use AI for investing next week. But I wanted

0:23.1

to grab him because to me his learning machine learning and AI and essentially teaching

0:28.6

it to himself is really analogous to our practice of investing and our ongoing either self-taught

0:38.6

or taught through this podcast or taught through books or however any of us are learning. We're

0:45.4

all doing it on the side on the weekends in the evenings when we're tired, which is exactly

0:52.2

what Nuno did with AI and I find it impressive that every single one of us has done that.

0:59.0

You know, first of all, welcome back. Thank you. Thanks for having me.

1:03.1

And we're passing the microphone back and forth between us in my tiny little recording office here.

1:09.3

So quickly, tell me about what made you decide to spend those nights and weekends and free time

1:20.1

learning this whole new project.

1:21.5

Okay, so for me, there were two factors influencing that decision. So one was an affinity.

1:34.7

I did have an affinity with a topic. My background not being that of a computer scientist that

1:41.6

I'm an economist by training, but I had all that foundational knowledge of econometrics and

1:47.4

statistics. I've been to statistics for a while at university that I was just interested in.

1:55.5

And you did provide me that affinity. Second was there was a business rationale for me to do it.

2:03.7

In that, I'm helping my client as a management consultant. I'm helping my clients with, you know,

2:11.4

high-level strategic questions. And I always, whereas I've always used statistics in helping

2:18.2

myself answering those, I thought I could do more more with data, more with advanced techniques

2:26.1

like machine learning. And that's why for me, it became an investment now worthwhile undertaking.

2:35.1

What about personally, though? Like, I imagine there were probably multiple ways that you could have

2:39.8

improved your offering to clients. Why this? Were you just interested? Like, what grabbed you

...

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