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R Data Mining Projects

Pradeepta Mishra




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 | #4843239 in Books |  2016-07-29 |  2016-07-29 | Original language:English |  9.25 x.59 x7.50l,1.00 | File type: PDF | 260 pages

||2 of 4 people found the following review helpful.| Poor|By Dimitri Shvorob|Let's go to page 191:

"Collaborative filtering algorithm generates recommendations based on a subset of users that are most similar to the active user. Each time a recommendation is requested, the algorithm needs to compute the similarity between the active user and all other users, based on their co-rated items, so as to pick the ones with si|About the Author|Pradeepta Mishra is a data scientist, predictive modeling expert, deep learning and machine learning practitioner, and an econometrician. He is currently leading the data science and machine learning practice for Ma Foi Analytics, Bangalore, Ind

Learn about data mining with real-world datasets

About This Book

  • Diverse real-world datasets to teach data mining techniques
  • Practical and focused on real-world data mining cases, this book covers concepts such as spatial data mining, text mining, social media mining, and web mining
  • Real-world case studies illustrate various data mining techniques, taking you from novice to intermediate

Who This Book Is For


You can specify the type of files you want, for your gadget.R Data Mining Projects   |  Pradeepta Mishra. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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