Practical Recommendation System 01 : Embedding Techniques
Sampling and Monte Carlo (03): Markov Chain Monte Carlo (MCMC) Method
[讀論文] Wide And Deep Learning For Recommender Systems — 2016 Google Inc.
Marketing and Data Science : Targeting, Evaluation and Value Maximization
Sampling and Monte Carlo (Special): 3 classic questions of a hidden markov model
Gradient Descent and the Realization of the Least Square Estimation (In Python 3)
INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS (Google Inc. — 2015)
Recommender System : Bayesian Personalized Ranking (BPR)
Sampling and Monte Carlo (01):Generating Random Number