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When should we use Machine Learning to solve a problem?

Rodolfo Mendes
I help machine learning engineers to deploy, monitor, and scale machine learning models, so they don't have to work overtime.
Originally published at reinforcement-learning4.fun on ・1 min read

We use Machine Learning for problems that traditional programming can’t solve.

In other words, we use Machine Learning for problems in which we can’t infer a logical sequence of steps or rules to solve the problem.

For example, let’s say that we want to build a program to recognize the fruit contained in a picture.

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