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| #4852943 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 easily download any file type for your gadget.R Data Mining Projects | Pradeepta Mishra. Which are the reasons I like to read books. Great story by a great author.
