i learned machine learning because it seemed very interesting. after i got the basics of ML w/ JavaScript using a framework called brain.js, i thought that it would be so dope to implement it to Karbon by making a list of data, and see which category the object/word goes to. like water => drink, cat => animal, coke => soda, etc. with places, school subjects, and school "sub-subjects" like trigonometry.
so far ive learned about neural networks and traning data, i heard about loss where if it gets the guess wrong, then theres some loss, idk. should learn bout it
woah nice
what are you doing machine learning for? remember - don't assume humans are humane like MS did: https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist
i learned machine learning because it seemed very interesting. after i got the basics of ML w/ JavaScript using a framework called brain.js, i thought that it would be so dope to implement it to Karbon by making a list of data, and see which category the object/word goes to. like water => drink, cat => animal, coke => soda, etc. with places, school subjects, and school "sub-subjects" like trigonometry.
so far ive learned about neural networks and traning data, i heard about loss where if it gets the guess wrong, then theres some loss, idk. should learn bout it