Explaining the 1u003csupu003estu003c/supu003e three –u003cbr/u003eu003cstrongu003eKNNu003c/strongu003e is a fundamental algorithm of Machine Learning for classification and identification of things based on certain number of them, closest in similarity.u003cbr/u003eu003cstrongu003eCNN u003c/strongu003eis a Classification algorithm in Deep Learning of Machines, which works with a lot of input data of similarity to identify/classify things presented to it. Examples: Computer Vision/Image Detection.u003cbr/u003eu003cstrongu003eRNNu003c/strongu003e is an algorithm for processing sequence data. It stores fed data and keeps revisitng the networks to process new input and given an output. RNNs do not forget the past data. It is a Deep Learning technique used in u003cemu003eNLP u003c/emu003eNatural Language Processing, Text Processing, Recommendation Systems etc.u003cbr/u003eIt is an advanced extension of Feed Forward Neural Networks u003cemu003eFFNNu003c/emu003e