Introduction Deep Learning is a subfield of Machine Learning inspired by the structure and function of the human brain. It focuses on teaching machines to learn hierarchical patterns from data using multi-layered neural networks. Over the last decade, Deep Learning…
How global AI infrastructure, gigawatt-level data centers, and humanoid robots are reshaping the 2025 workforce. A deep dive into the next AI revolution. Introduction The AI revolution is no longer happening inside labs it is now transforming factories, hospitals, warehouses,…
Concept Learning is one of the foundational theoretical frameworks in Machine Learning. It explains how a learner identifies a target concept by analyzing examples, forming hypotheses, and gradually narrowing down what is correct and what is impossible. This lecture provides…
Machine Learning (ML) has become one of the most transformative technologies of the modern world. From medical diagnosis and fraud detection to self-driving cars and large language models (LLMs), ML powers systems that learn from data and improve over time.…
Learn the basics of data structures in computer science with simple examples. Covers primitive and non-primitive types, operations, differences, and importance in programming & AI. Introduction to Data Structures 2025 Data structures are the foundation of computing. They define how…
Learn arrays in C from zero, declare, initialize, index, compute sizes, and map 1D/2D addresses in row/column-major with worked examples. What is an array? An array is a data structure that stores a collection of elements of the same type…