Some machine learning works in a similar way to how people do it. Google Translate, for example, uses a large database of text in a given language to translate into another language, a statistical process that does not involve looking up the "meaning" of words. Humans do something similar, in that we learn languages ​​by seeing lots of examples. Google Translate is not always successful, precisely because it does not seek meaning and can sometimes be misled by synonyms or different connotations. (Schapire, 2008) Current and future examples of machine learning include: optical character recognition, face detection, spam filtering, fraud detection, weather forecasting and medical