Best Free R and Data Mining courses Online
This article is a collection of such free Data Mining and R programming courses. I compiled this list to build your skills and advance your career. Learn data mining and other in-demand subjects with...
Tagged: Data Mining
Best Free Online Documents, Books and Tutorials about R and Data Mining
If you are looking for Document, Books Or Tutorials about R programming and Data Mining to advance your Knowledge, here is the best list in various formats available for free
Advances in Data Mining Knowledge Discovery and Applications
Advances in Data Mining Knowledge Discovery and Applications by Adem Karahoca eBook Details: Hardcover: 418 pages Publisher: InTech (September, 2012) Language: English ISBN-13: 978-953-51-0748-4 License(s):CC BY 3.0 eBook Description: Advances in Data Mining Knowledge Discovery...
Best Hadoop Books
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. It is at the center of a growing ecosystem of big data technologies that...
Best Books For Learning Data Mining
Data mining is the practice of examining large databases in order to generate new information. It is one kind of process. By using software to look for patterns in large batches of data,...
A Programmer’s Guide to Data Mining
A Programmer’s Guide to Data Mining by Ron Zacharski eBook Details: Publisher: GuideToDatamining.com 2014 Number of pages:359 License(s) : CC By-NC eBook Description: Before you is a tool for learning basic data mining techniques. Most...
Best Books for Learning or Advancing your R Programming Knowledge
R is a programming language and software environment for statistical analysis, graphics representation, and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently...
The Big Data Agenda: Data Ethics and Critical Data Studies
The Big Data Agenda: Data Ethics and Critical Data Studies by Annika Richterich eBook Details: Publisher: University of Westminster Press 2018 ISBN-13: 978-1-911534-97-6 9781911534730 9781911534747 9781911534723 Number of pages: 156 License(s): This work is licensed under...
