Making data science accessible – Neural Networks

Neural Networks are a family of Machine Learning techniques modelled on the human brain. Being able to extract hidden patterns within data is a key ability for any Data Scientist and Neural Network approaches may be especially useful for extracting patterns from images, video or speech. The following blog aims to explain at a high level how these methods work and key things to bear in mind. At first these weights should be randomized. In a basic neural network, you train the system by running individual cases through one at a time and updating the weights based on the error.