Let’s discuss something serious.
Your cousin made millions of dollars by speculating in real estate. He was approached to become your business partner due to your expertise in data science. He will provide the capital, and you will develop models to predict future housing prices.
When you ask your cousin how he predicted property values in the past, he claims it was just intuition. However, after some follow-up questions, you discover that he has actually identified patterns in home prices from his experience and used these patterns to predict prices for new properties.
Machine learning operates similarly. One of the models used in this field is called a decision tree. While there are more complex models that provide more accurate predictions, decision trees are easy to understand and serve as a fundamental building block for some of the most powerful models in data science.
Predictions are just one of the many AI capabilities that can be applied across various fields, such as real estate, stock prices, sales, or inventory management.
Where would you like to apply AI predictions?
**#machinelearning** **#ai** **#predictions** **#executives** **#business**
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