Uncertainty in Profit Scoring (Bayesian Deep Learning)
Application of Bayesian Deep Learning to Profit Scoring
Building a LDA-based Book Recommender System
A Book Recommender System
Generative Models
This blog post deals with generative models applied to an imbalanced dataset of credit ratings.
Text Classification with Hierarchical Attention Network
Hierarchical Attention Networks - An Introduction
Crime and Neural Nets
Introducing Recurrent Neural Networks with Long-Short-Term Memory and Gated Recurrent Unit to predict reported Crime Incident
ULMFiT: State-of-the-Art in Text Analysis
Application of state-of-the-art text analysis technique ULMFiT to a Twitter Dataset