Full name: Data Smart: Using Data Science to Transform Information into Insight

Author: John W. Foreman Year: 2013 Rank: Rating: Original Rating: Pop Rating: Genres/categories: Non Fiction, Business, Science Purchase/reserch links: Amazon Goodreads Barns&Noble eBooks.com LibraryThing ISBNs: 9781118661468 111866146X

The book provides nine tutorials on optimization, machine learning, data mining, and forecasting all within the confines of a spreadsheet. Each tutorial uses a real-world problem and the author guides the reader using query's the reader might ask as how to craft a solution using the correct data science technique. Hosting these nine spreadsheets for download will be necessary so that the reader can work the problems along with the book. Important topics covered by the book: - Linear and integer programming - K-nearest neighbors graphs and clustering - Logistic regression - Demand forecasting with seasonal adjustments - Price sensitivity, revenue optimization, and price-sensitive forecasting - Naive Bayes classification - Outlier detection using graphs and Local Outlier Factors - Multi-criteria decision analysis Similar books: Abundance by Peter H. Diamandis The Second Machine Age by Erik Brynjolfsson Linked by Albert-Laszlo Barabasi The Creative Destruction of Medicine by Eric Topol The Inevitable by Kevin Kelly An Introduction to General Systems Thinking by Gerald M. Weinberg Predictive Analytics by Eric Siegel The Innovator's Cookbook by Steven Johnson Elon Musk by Ashlee Vance The Visual Display of Quantitative Information by Edward R. Tufte Salt Sugar Fat by Michael Moss How We Got to Now by Steven Johnson How to Lie with Statistics by Darrell Huff Out of Control by Kevin Kelly Thinking in Systems by Donella H. Meadows The Invisible Gorilla by Christopher Chabris The Industries of the Future by Alec Ross Cockpit Confidential by Patrick Smith Social by Matthew Lieberman How Doctors Think by Jerome Groopman