Data Mining for the Masses
by Matthew North
Publisher: Global Text Project 2012
Number of pages: 264
In this book, professor Matt North uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
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by Allen Wyatt
Access for beginners: getting started, creating database, sorting and filtering, queries, printing, simple reports, custom forms, Web features, data relationships, importing and exporting, data security, OLE, macros, dialog boxes and menus, and more.
by Julia Silge, David Robinson - O'Reilly Media
With this practical book, you'll explore text-mining techniques with tidytext, a package that authors developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext can make text analysis easy and effective.
by Jacek Laskowski - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
by Ian Robinson, Jim Webber, Emil Eifrem - O'Reilly Media
Graph Databases, published by O'Reilly Media, discusses the problems that are well aligned with graph databases, with examples drawn from practical, real-world use cases. This book also looks at the ecosystem of complementary technologies.