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f9488a8cf8 Practical Data Science with R Jun 30 2016SummaryPractical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. We are sorry, but an unhandled error occurred. This book aims to get you into data mining quickly. Cookies are required to use this site. Some suggestions: Go back to the last page Go to the home page .. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the BookBusiness analysts and developers are increasin. Data Mining with Rattle and R Jun 30 2016Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world.
We'll be back as soon as we can! We're sorry for the inconvenience.. .. Application Error. Your browser doesn't accept cookies. Big Data Analytics with R and Hadoop Jun 30 2016Set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Overview Write Hadoop MapReduce within R Learn data analytics with R and the Hadoop platform Handle HDFS data within R Understand Hadoop streaming with R Encode and enrich datasets into R In Detail Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Some suggestions: Go back to the last page Go to the home page .. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built.