3 ms·
I think from the ML point of view it would be hard because of the amount of data you need to train an algorithm. ML algorithms in general need a really big amou
by pacuna 9y ago
I think from the ML point of view it would be hard because of the amount of data you need to train an algorithm. ML algorithms in general need a really big amount of data to predict good results. If you have let's say a thousand of cases you know if the person got the offer or not, it still wouldn't be enough to train an algorithm.
- pradeep_m 9y agoCouldn't we train it on top of resumes itself? With every resume, you know where they worked before and you have the data of where they worked until then. Granted, it would be muddled with noisy data (like skills, etc that they didn't have in the past). It wouldn't be very hard to collect enough resumes as training data.