Technology can aid in solving Optimal Stopping problems by providing data-driven insights and predictive models. Machine learning algorithms can analyze past data to predict future outcomes, helping to determine the optimal time to make a decision. For example, in the case of hiring the best candidate for a job, an algorithm could analyze data from past hiring processes to determine the optimal number of candidates to interview before making a decision. Similarly, in the case of renting an apartment, technology could analyze market trends to predict when demand will be highest and thus when it would be best to rent.
Can computer science teach us the secrets of life? Perhaps not, but they can shed light on how certa...
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