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Our 15 AI experts built the most comprehensive, practical, 90+ lesson courses to master AI Engineering - we have pathways for any experience at Towards AI Academy. Cohorts still open - use COHORT10 for 10% off.

Author: Abinaya Subramaniam

Understanding Logistic Regression: Theory, Intuition, and Applications
Artificial Intelligence  Latest  Machine Learning

Understanding Logistic Regression: Theory, Intuition, and Applications

Abinaya Subramaniam
7 likes
September 1, 2025

Author(s): Abinaya Subramaniam Originally published on Towards AI. Logistic Regression — Image by Author You may already be familiar with linear regression, which models a straight line relationship between input features and a continuous output. However, when the output variable is categorical, …

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Handling Imbalanced Datasets in Machine Learning: SMOTE, Oversampling & Undersampling Explained
Artificial Intelligence  Data Science  Latest  Machine Learning

Handling Imbalanced Datasets in Machine Learning: SMOTE, Oversampling & Undersampling Explained

Abinaya Subramaniam
2 likes
April 30, 2025

Author(s): Abinaya Subramaniam Originally published on Towards AI. Imbalanced Datasets — Image by Author What are imbalanced Datasets? In many real-world classification problems, the number of samples in each class is not balanced. This is called an imbalanced dataset. For example, in …

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The Power of Prolog: A Comprehensive Guide to Logic Programming for AI
Latest  Machine Learning

The Power of Prolog: A Comprehensive Guide to Logic Programming for AI

Abinaya Subramaniam
1 like
April 7, 2025

Author(s): Abinaya Subramaniam Originally published on Towards AI. Programming in Logic — Image by Author In procedural or object-oriented programming (OOP), such as languages like C, Java, or Python, the focus is on how to do things. In these languages, we write …

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