Blog & Writings

Blog

Regression

Regression is a common task in supervised learning. While classification assigns to each instance a class (out of a finite set of classes), regression predicts a real-valued number......

Post date: 05/10/2025

Blog

K-Nearest Neighbors

A K-NN learner is a type of instance based/lazy classifier. This learner represents each instance in the training set as a point in a n-dimensional space.....

Post date: 24/09/2025

Blog

Hierarchical clustering

Hierarchical clustering techniques are an important category of clustering methods. They can be divided in agglomeration and division....

Post date: 13/09/2025

Blog

Bayes's Theorem

Bayes' Theorem provides a powerful framework for updating our beliefs based on new evidence, making it invaluable across various fields....

Post date: 13/09/2025

Blog

Resource Allocation

The Newsvendor Problem. The problems we are going to examine have a forerunner in the Newsvendor Problem, studied as early as 1888. A newspaper seller needs to determine ....

Post date: 11/07/2025

Blog

DBSCAN

Density-based spatial clustering of applications with noise (DBSCAN) is a clustering algorithm used in machine learning to partition data into clusters based on their distance to other points. Its effective at identifying and removing noise in a data set, making it useful for data cleaning and outlier detection....

Post date: 05/07/2025

Blog

Cluster Analysis: Concepts and Types

Cluster analysis groups data objects into clusters based on the information found in the data itself. The goal is to produce clusters such that all of the members of a single cluster are similar to each other, while objects belonging to different clusters are unrelated...

Post date: 14/05/2025

Blog

K-means Clustering

K-means clustering is an unsupervised learning algorithm used for data clustering, which groups unlabeled data points into groups or clusters. It is one of the most popular clustering methods used in machine learning....

Post date: 14/05/2025

Blog

Quantitative Modeling (Operations Research - OR) vs Empirical Research

Khi tìm hiểu về chương trình Tiến sĩ (PhD) trong lĩnh vực Quản trị Chuỗi Cung ứng (SCM), mọi người thường nhầm lẫn về Quantitative Modeling (Operations Research - OR) và Empirical Research...

Post date: 13/05/2025