How it works?
Tthere’s a input x, like sentence from review, a classified MODEL that generates the output, y. The predicted class, like positive or negative reviews.
Multiclass Classifier: input (x) webpages and classifiers (y) like education, sport, health, IT and so on.
Spam filtering: by model classification of email input variables like text of email, ip, sender, etc. To output of classifying into not spam or spam.
Image classification: predictions through analysis of pixel images.
Personalized medical diagnosis: input of indicators like temperature, x-ray analysis, medical tests, for a disease classifier model, that predicts healthy, cold, flu, pneumonia etc.
And the last, the application for reading minds, with brain images that, applied to a model classifier it is possible to discover which image is seeing by the person.