Archive

Robust Regression Techniques - Huber Regression and RANSAC

Robust Regression Techniques - Huber Regression and RANSAC

30 Sept 2025

The Analytics Lens
The Analytics Lens
Log-Loss vs. Hinge Loss in ML

Log-Loss vs. Hinge Loss in ML

Loss functions and uses in logistic regression & SVMs | E23

The Analytics Lens
The Analytics Lens
Linear Discriminant Analysis (LDA)

Linear Discriminant Analysis (LDA)

Used in Supervised Machine Learning to solve multi-class classification problems | E22

The Analytics Lens
The Analytics Lens
Pre-Trained Models for Computer Vision

Pre-Trained Models for Computer Vision

Exploring VGG, MobileNet, and YOLO | E 21

The Analytics Lens
The Analytics Lens
Neural Networks Mimicking Human Decision

Neural Networks Mimicking Human Decision

Bridging the Gap Between AI and Human Cognition | E20

The Analytics Lens
The Analytics Lens
Lasso Regression and Its Variants

Lasso Regression and Its Variants

Group Lasso, Adaptive Lasso, and Fused Lasso | E19

The Analytics Lens
The Analytics Lens
Weekly AI Review

Weekly AI Review

Top 10 news from last week | E18

The Analytics Lens
The Analytics Lens
Exploring Graph Neural Networks (GNNs)

Exploring Graph Neural Networks (GNNs)

Graph Neural Network Applications and Its Future | E17

The Analytics Lens
The Analytics Lens
Semi-Supervised vs. Supervised & Unsupervised Learning

Semi-Supervised vs. Supervised & Unsupervised Learning

how it bridges the gap between Supervised and Unsupervised Learning | E16

The Analytics Lens
The Analytics Lens
Weekly AI Review

Weekly AI Review

Top 10 news from last week | E15

The Analytics Lens
The Analytics Lens
Feature Engineering for ML Success

Feature Engineering for ML Success

transforming data (log, polynomial terms) | E14

The Analytics Lens
The Analytics Lens
Power BI – Data Sources and its type

Power BI – Data Sources and its type

Power BI is an interactive data visualization software | E13

The Analytics Lens
The Analytics Lens
FirstBack
12
Next Last