Predictive Analytics

Understanding Data Mining and Business Intelligence To get started with this we need to define these two terms. Data mining is the act of trawling through historical data with the aim of finding patterns that might be useful in the future. Business intelligence is concerned with looking at historical and current…

Neural Network Data Mining Explained Neural network data mining uses artificial neural networks, which are mathematical algorithms aimed at mimicking the way neurons work in our nervous system. They are in essence large curve fitting algorithms, adjusting equations until the prediction matches with reality. For this reason it is very…

What is Data Mining? Data mining is the act of trawling through historical data looking for patterns that might have a future use. Imagine a database of customers and their orders. We can mine this data for useful patterns – maybe people who purchased one product tend to purchase another…

Guide to Predictive Analytics The goal of predictive analytics software is to create predictive models which can predict the outcome of future events, with an accuracy that is greater than is currently possible. This is achieved by trawling through historical data, looking for patterns that might be useful predictors of…

Big data analytics is concerned with the creation of value from the wide variety and high volume of data associated with big data, and often at a speed that traditional data management infrastructures cannot handle. Until value is extracted from big data it is a pure infrastructure cost. New types…

There are various terms used for the predictive capability in applications – predictive analytics, AI and machine learning being the main ones. The essence of the approach is to look at historical data, learn from it, and apply it to new data. So if a particular customer profile has proved…

There are various terms used for the predictive capability in applications – predictive analytics, AI and machine learning being the main ones. The essence of the approach is to look at historical data, learn from it, and apply it to new data. So if a particular customer profile has proved…

Click on image above to download full 10 page report. Excerpt Big data is driven by the rapidly falling cost of acquiring, managing and processing ever increasing amounts of data. Clearly we shouldn’t be accumulating more data simply because it is possible to do so, and the whole big data…

Deep learning is essentially the use of deeply layered neural networks. It’s currently a very hot topic, and here is a list of relevant free and open source tools. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision…