Deep Learning—A Technique for Implementing Machine Learning [1]

Another algorithmic approach from the early machine-learning crowd, Artificial Neural Networks, came and mostly went over the decades. Neural Networks are inspired by our understanding of the biology of our brains – all those interconnections between the neurons. But, unlike a biological brain where any neuron can connect to any other neuron within a certain physical distance, these artificial neural networks have discrete layers, connections, and directions of data propagation.

Predictive Analytics is about predicting future outcome based on analyzing data collected previously. It includes two phases:

1. Training phase: Learn a model from training data
2. Predicting phase: Use the model to predict the unknown or future outcome