PinnedSiwei CausevicinTowards Data ScienceFrequentist vs. Bayesian Approaches in Machine LearningA Comparison of Linear Regression and Bayesian Linear Regression·6 min read·Aug 27, 2020--1--1
Siwei CausevicinTowards Data ScienceGeneralized Advantage Estimation in Reinforcement LearningBias and Variance tradeoff in Policy Gradient·6 min read·Mar 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…·7 min read·Jul 6, 2022--2--2
Siwei CausevicinTowards Data ScienceSearch Algorithms — Concepts and ImplementationA*, Dijkstra, Dynamic Programming, BFS, DFS and IDDFS·13 min read·Aug 13, 2021----
Siwei CausevicinTowards Data SciencePolicy Gradient REINFORCE Algorithm with BaselineAlgorithm and Implementation in Tensorflow·7 min read·Mar 19, 2021--2--2
Siwei CausevicinTowards Data ScienceImplement Expectation-Maximization(EM) Algorithm in Python from ScratchUnsupervised and Semi-supervised Gaussian Mixture Models (GMM)·6 min read·Nov 26, 2020--6--6
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 Programming·12 min read·Jun 18, 2020--3--3
Siwei CausevicinTowards Data ScienceGenerative vs Discriminative Probabilistic Graphical ModelsA Comparison of Naive Bayes and Logistic Regression·5 min read·Apr 5, 2020--2--2
Siwei CausevicinTowards Data ScienceImage Denoising with Gibbs Sampling (MCMC)Concepts and Code Implementation·6 min read·Mar 30, 2020--6--6
Siwei CausevicinTowards Data ScienceDeep Reinforcement Learning: Build a Deep Q-network(DQN) with TensorFlow 2 and Gym to Play CartPole·10 min read·Dec 16, 2019--11--11