The Importance of Cross Validation in Machine Learning

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The most important piece of info is that what matters is the data that's been fed into it. So when people are looking at something that they have access to like a chat GBT or a bard, I think the important piece of information is that how much data has been fed into them. And so in that sense, the next word that I as an algorithm predicting is very much a function of how many times actually I have observed that word being preceded by the word that I just predicted before. These are the generative language. Just to be clear, not all machine learning. No, no,no, no, no,. no, no.

Until very recently, a lot of talk about artificial intelligence conjured dystopian images of Skynet, the Matrix, and HAL-9000 instead of a browser window answering homework questions or rendering bizarre reproductions of famous artwork.

However, the recent releases of some powerful AI tools has reframed the popular understanding of what AI really is, and the investing world has taken note. At times when technology takes an exponential leap forward, how can companies avoid being behind the curve?

Following some recent discussion about the prominence of artificial intelligence in the current cultural conversation, Phil and Danielle brought in an expert on the topic (Nuno Neves Cordeiro) to clear the air and answer some of their lingering questions and dispel some of the pop culture myths surrounding AI.

To clear up some other common market misconceptions, click here for a free copy of the The 3 Greatest Stock Market Myths Ever Told: https://bit.ly/45NycoE

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