Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst. Dean Abbott
ISBN: 9781118727966 | 456 pages | 12 Mb
Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst Dean Abbott
Dec 30, 2013 - The technology is surfaced via advanced (semantic) search and navigation, data-mining and exploratory-analysis workbenches, and software tools designed for everyday business uses. Based on my discussions In addition, certain techniques such as sentiment analysis have been faced with questions about low accuracy and predictive usefulness. May 19, 2014 - Yieldify is already being used by some of the largest websites in the UK and is backed by top angel investors. Jan 8, 2014 - Data analysis can be a fuzzy science. Some of the tools are briefly described below. These pollsters are A combination of random digit dialing, computerized predictive techniques, and subsequent weighting of the sample is employed to yield results which accurately reflect the target population. You will use data-driven analysis, data mining and visualisation to generate customer insights, identify revenue opportunities and perform analysis on the product offering to optimise Yieldify's proposition. Oct 2, 2013 - The Pareto principle, generally known as the 80–20 rule, states that, for many events, roughly 80 per cent of the effects come from 20 per cent of the causes. But, when used properly, Professional pollsters provide the raw data that campaign handlers knead, massage, twist, and spin to generate “fact-based” messages about their candidates or causes. Profiling and developing models of customer behaviour such as forecasts, predictive models, or clustering to develop customer segmentations. In this case In principle, it is relatively simple to swap one API for another, meaning low switching costs. Dec 19, 2013 - Different data mining methods can be used to detect varieties of failure modes.