Predictive Analytics For Dummies
| Author | : | |
| Rating | : | 4.82 (600 Votes) |
| Asin | : | 1118728963 |
| Format Type | : | paperback |
| Number of Pages | : | 360 Pages |
| Publish Date | : | 2016-04-19 |
| Language | : | English |
DESCRIPTION:
Five Stars Ken preston Great simple explanations of predictive analytics withvexamples. GPD said One Star. Sloppy math in the examples. Irritating errors Dan Nuttle There is good content in this book, but its reliability is called into serious question by some very irritating and careless errors.In more than one place, the book gives a link for "extras" that are allegedly available. This link is invalid; there is no such page at the dummies.com site. This is so egregiously over the line that I am being generous in giving this book more than one star. How careless can you be not to ensure that a link on your own site works? What does that carelessness say about all
This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businessesHelps readers see how to shepherd predictive analytics projects through their companiesExplains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and moreCovers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing dataAlso covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewher
From the Back CoverLearn to:Analyze structured and unstructured dataUse algorithms and data analysis techniquesBuild clustering, classification and statistical modelsApply predictive analytics to your website and marketing effortsA practical guide to using Big Data and technology to discover real-world insightsPredict the future! Data is growing exponentially and predictive analytics is your organization’s key to making use of it to create a competitive advantage. This comprehensive
Mohamed Chaouchi has conducted extensive research using data mining methods in both health and financial domains. Tommy Jung has worked extensively on natural language processing and algorithmic trading using machine learning.. Dr. Anasse Bari is a Fulbright scholar, a software engineer, and a data mining expert