>ML systems are just compressed aggregations of their input datasets I like to think of them as forgiving sieves of patterns in data. Overfitting a sieve will

>ML systems are just compressed aggregations of their input datasets I like to think of them as forgiving sieves of patterns in data. Overfitting a sieve will exclude a large number of almost positive cases, loose fitting will include a large number of mostly negative cases. And there is always a danger of falling into a local minima and not being able to come out of it.