The Importance of Creativity in Machine Learning

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The power of machine learning algorithms is that they can move away from linearity or quality linearity. And because you describe the relationship between those levers and the index itself in a different way, you can extract some meaningful predictions. Half of the predictive power went into one particular algorithm came from its cryptic features which were engineered by programmers.

The arrival of the AI boom has stirred up a lot of questions, a couple of which seem to define the main concerns with the technology: are machines going to take all of our jobs, and how can I utilize this tech in a way that nobody else has thought of yet?

The first question is answered by the fact that none of this would function without human creativity guiding the process, and the second will be answered in a multitude of ways as this technology continues to be refined and democratized in the coming years..

This week on InvestED, Phil and Danielle are joined once again by AI expert Nuno Neves Cordeiro as they discuss the ways that investment firms are implementing open source machine learning processes to streamline the way they analyze data, as well as how the average investor can take advantage of this technology.

Click here for your copy of 5 Numbers to Determine a Smart Investment, Phil’s guide for discovering and calculating the numbers that matter most in your investments: https://bit.ly/3psMESQ

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