The goal of predictive analytics is to determine the future using several techniques and tools. These days, it uses machine learning techniques as well as data and algorithms to provide the best scientific evaluation of what the future will bring. Even though predictive analytics has been around for years, it's only now that more organizations are turning to it. That's because in order to handle the large amount of data, today we have faster computers, cheaper technology, and easy-to-use software, all of which make predictive analytics deployment easier. Enterprises are slowly turning to predictive analytics to discover new opportunities.
Prediction using Neural Networks: In the first part of this post, we discussed what neural networks prediction are, what the “artificial” component in them is, and how they are used in data science. Today we look at how they are used in predictive analytics. We will also a