Book Content
chapters • 12h12m total length
1. Building a Recommender System –I – A step by step approach to build Association Rule Mining
2. Building a Recommender System II- Fuzzy Logic induced Content Based Recommendation
3. Building a Recommender System III – Collaborative Filtering based recommendation systems
4. Taming time series data – Time Series analysis using Recurrent Neural Networks
5. Text Sentiment Classification using Kernel Density Estimates
6. Record Linkage - Stochastic and Machine Learning Approaches
7. Streaming data Clustering analysis in R
8. Analyze and understand networks using R
