In an era when data is seen as an increasingly valuable commodity, the tools and techniques used to analyze that data gain extra importance. Historically analysis, even using computers, has been something of a labor intensive task because the raw data needed to be verified and complex models built to process it. But due to the growth of machine learning and data mining techniques we’re now seeing an increase in predictive analysis where machines can take historical and current information and apply it to a model to predict future trends. Whilst in business terms predictive analytics is primarily about looking…
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