Convolutional Neural Network (CNN)

 neural network that identifies and classifies data by frames of increasing complexity—e.g. identifying letters in a handwritten note one pen stroke at a time

Decision Trees (DT)

 a series of if this, then that paths that guide data processing based on the achieved output—e.g. automated, multifactor authentication for an online app

kNearest Neighbor (kNN)

 making predictions about unknown data by classifying it according to the nearest data with known traits—e.g. determining if a new snake species is poisonous

Naïve Bayesian

 calculating probability by multiplying the subprobabilities (inputs) of a greater outcome—e.g. deducing whether a candidate is Democrat or Republican

Neural Networks (NN)

 modeled after the human brain and nervous system; a group of neurons makes up a layer, and calculations traverse layers as neurological signals across synapses

Recurrent Neural Network (RNN)

 neural network that recycles data through its hidden layers, adding memorytype context to its learning—e.g. learning to translate a foreign language

Statistical Regression

 a data analytics model that makes predictions based on relationships it identifies between two or more variables—i.e. Correlative Analytics

Support Vector Machines (SVM)

 making predictions about unknown data that has nearidentical features to two or more known datasets—e.g. classifying new food as a fruit or vegetable
