Reinforcement Learning: Q-Learning, Deep Q Networks Reinforcement Learning (RL) is a trial-and-error learning approach where an agent interacts with an…
Author: Hasnain Abbas
Natural Language Processing (NLP)
Basics of NLP: Tokenization, Stemming, Lemmatization Natural Language Processing (NLP) helps computers understand and process human language. Tokenization, Stemming, and…
Deep Learning and Neural Networks
Introduction to Neural Networks & Perceptrons Neural Networks are the foundation of modern AI and Deep Learning. They mimic the…
Machine Learning Fundamentals
Supervised vs Unsupervised Learning Machine Learning is broadly categorized into Supervised and Unsupervised Learning. Let’s break them down. Supervised Learning…
Mathematics for AI
1- Linear Algebra: Vectors, Matrices, Eigenvalues Linear algebra is essential for understanding the mathematics behind artificial intelligence (AI). Concepts like…
Introduction to Artificial Intelligence (AI)
What is AI? Artificial Intelligence (AI) is the branch of computer science that enables machines to mimic human intelligence. AI…