PinnedSiwei CausevicinTowards Data ScienceFrequentist vs. Bayesian Approaches in Machine LearningA Comparison of Linear Regression and Bayesian Linear RegressionAug 27, 20201Aug 27, 20201
Siwei CausevicinTowards Data ScienceGeneralized Advantage Estimation in Reinforcement LearningBias and Variance tradeoff in Policy GradientMar 27, 2023Mar 27, 2023
Siwei CausevicinTowards Data ScienceSelf-supervised Transformer Models — BERT, GPT3, MUM and PaMLIn the early days, NLP systems are mostly rule-based that are later replaced by machine learning models. Training deep learning language…Jul 6, 20222Jul 6, 20222
Siwei CausevicinTowards Data ScienceSearch Algorithms — Concepts and ImplementationA*, Dijkstra, Dynamic Programming, BFS, DFS and IDDFSAug 13, 2021Aug 13, 2021
Siwei CausevicinTowards Data SciencePolicy Gradient REINFORCE Algorithm with BaselineAlgorithm and Implementation in TensorflowMar 19, 20212Mar 19, 20212
Siwei CausevicinTowards Data ScienceImplement Expectation-Maximization(EM) Algorithm in Python from ScratchUnsupervised and Semi-supervised Gaussian Mixture Models (GMM)Nov 26, 20206Nov 26, 20206
Siwei CausevicinTowards Data ScienceA Structural Overview of Reinforcement Learning AlgorithmsActor Critic, Policy Gradient, DQN, VFA, TD Learning, Model-based and Model-free Monte Carlo, Dynamic ProgrammingJun 18, 20203Jun 18, 20203
Siwei CausevicinTowards Data ScienceGenerative vs Discriminative Probabilistic Graphical ModelsA Comparison of Naive Bayes and Logistic RegressionApr 5, 20202Apr 5, 20202
Siwei CausevicinTowards Data ScienceImage Denoising with Gibbs Sampling (MCMC)Concepts and Code ImplementationMar 30, 20206Mar 30, 20206
Siwei CausevicinTowards Data ScienceDeep Reinforcement Learning: Build a Deep Q-network(DQN) with TensorFlow 2 and Gym to Play CartPoleDec 16, 201911Dec 16, 201911