{"id":3323,"date":"2018-05-23T18:26:46","date_gmt":"2018-05-23T16:26:46","guid":{"rendered":"https:\/\/geekosas.com\/?p=3323"},"modified":"2026-05-23T18:27:31","modified_gmt":"2026-05-23T16:27:31","slug":"what-does-machine-learning-see","status":"publish","type":"post","link":"https:\/\/geekosas.com\/index.php\/2018\/05\/23\/what-does-machine-learning-see\/","title":{"rendered":"What does Machine Learning see?"},"content":{"rendered":"

Machine learning algorithms can understand problems with hundreds or sometimes thousands of dimensions, thus seeing things that the human eye could not otherwise see. But how do these methods compare when the human eye can actually see?<\/p>\n

That is why we generated a series of experiments in 2 dimensions and applied several different machine learning methods to compare the real data vs. what the computer saw.<\/p>\n

Basically, the challenge is to take a pattern that is easy for the human eye and generalize it as follows:<\/p>\n

You are given a dataset like this: <\/p>\n

\"\" <\/p>\n

And it is expected to generalize like this: <\/p>\n

\"\"<\/p>\n

The algorithms applied are:<\/p>\n