PinnedBenjamin WanginTowards Data ScienceMonte Carlo Tree Search: An IntroductionMCTS is the cornerstone of AlphaGo and many AI applications. We aim to build some intuitions and along the way get our hands dirty.6 min read·Jan 10, 2021--1--1
PinnedBenjamin WanginTowards Data ScienceRanking Evaluation Metrics for Recommender SystemsVarious evaluation metrics are used for evaluating the effectiveness of a recommender. We will focus mostly on ranking related metrics…5 min read·Jan 18, 2021----
PinnedBenjamin WanginThe StartupCross Entropy Loss in PyTorchA small tutorial for newbie using cross entropy loss in PyTorch.4 min read·Jan 13, 2021----
PinnedBenjamin WanginTowards Data ScienceMatrix Factorization in Recommender Systemsgentle intro into Matrix Factorization (MF) techniques in Recommender Systems (RS). Including FunkSVD , SVD++, and NMF.5 min read·Jan 5, 2021--1--1
PinnedBenjamin WanginTowards Data ScienceBack to Basics: Nearest NeighboursDeep learning is over-hyped, it’s time to go back to the basics.6 min read·Jan 4, 2021----
Benjamin WanginTowards Data ScienceML Pipelines with Grid Search in Scikit-LearnML Pipeline is an important feature provided by Scikit-Learn and Spark MLlib. It unifies data preprocessing, feature engineering and ML…6 min read·Jan 26, 2021--2--2
Benjamin WangLocality Sensitive HashingLSH is a technique used to find similar documents in a large corpus. Here we use “documents” in a broad sense to represent any data that…4 min read·Jan 25, 2021----
Benjamin WangBloom filterBloom filter is a probabilistic data structure designed to tell you if a member is in a set in a highly memory and time efficient manner…2 min read·Jan 25, 2021----
Benjamin WangHow to Recover DeepLens PasswordRecover DeepLens SSH Password2 min read·Jun 14, 2018--1--1