Lecture 2 explains the types of data in Data Mining, including structured, semi-structured, unstructured, spatial, temporal, and multimedia data. It also covers data patterns, practical examples, case studies, diagrams, and tools used in industry perfect for BS CS, BS AI,…
Lecture 1 provides a complete introduction to Data Mining, including definitions, KDD process, data mining tasks, tools, step-by-step examples, diagrams, real-world applications, and Python demonstrations for students and teachers of BS CS, BS AI, BS IT, and Data Science. Data…
Wireless and Bluetooth Security basics including WPA3 encryption, Wi-Fi hacking attacks, Evil Twin, WPS vulnerabilities, Bluetooth risks like Bluejacking, Bluesnarfing, and best security practices. Introduction Hyper-connected world, we rely heavily on Wi-Fi networks and Bluetooth devices for everyday communication. However,…
This Natural Language Processing question bank is designed for BS Computing students following the NCEAC syllabus. Here you will find 100 MCQs, 30 short questions and 15 long / theory questions covering all topics from Lectures 1–15, including text preprocessing,…
Extractive and abstractive text summarization techniques with examples and evaluation metrics like ROUGE. As the volume of digital text continues to grow, it is no longer practical for humans to read every article, report or judgment in full. Text summarization…
How question answering systems work, from information retrieval based pipelines to modern neural approaches in Natural Language Processing. Question answering systems aim to respond to natural language questions with precise answers rather than long lists of documents. Instead of simply…