DATA SIMPLIFICATION: Published At Last!

Blog readers can use the discount code: COMP315 for a 30% discount, at checkout.On March 17, my book Data Simplification: Taming Information with Open Source Tools was published by Morgan Kaufmann, an imprint of Elsevier. [the Elsevier site indicates that the book is still on preorder, buy you can ignore that]. This past month, I've posted on topics relevant to data simplification. Beginning tomorrow, I'll be moving onto new subjects for this blog site, but I wanted to make one additional comment for anyone who might be on the fence about buying this book. Most large data projects are total failures (1-21). Furthermore, in my humble opinion, most data projects that are deemed successes at the time of completion are actually failures of a kind, because the data that was collected during the project was abandoned when the project ended. Data shouldn't die. Data should be prepared in a manner that permits anyone (not just the people who planned the project) to confirm the conclusions, to reanalyze the data, to merge the data with other data sources, and to repurpose the data for future projects. To do so, the data must be prepared in a manner that is comprehensible and simplified. My book provides open source tools for creating data that can be used and repurposed, by generations of data scientists. Enough said! Tomorrow, we move on. - Jules Bermankey words: computer science, data analysis, data repurposing, data simplification, data science, information science, simpl...
Source: Specified Life - Category: Information Technology Tags: computer science data analysis data repurposing data science data simplification information science simplifying data taming data Source Type: blogs