Machine Learning Module 3: Artificial Intelligence Technologies - Bloom's Taxonomy Question Bank
Year: 2026
Type: article
Abstract: Machine Learning Module 3: Artificial Intelligence Technologies - Bloom's Taxonomy Question Bank is a structured academic resource prepared for the course Introduction to AI and Applications under the VTU 2021 Scheme. This book is designed to support teaching, learning, assessment, question paper preparation, internal assessment, assignments, tutorials, oral examinations, and student revision. The book covers major topics of Module 3, including AI techniques, machine learning models, supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, regression analysis, model evaluation metrics, classification techniques, K-Nearest Neighbour, decision trees, random forest, clustering techniques, K-Means, DBSCAN, Naive Bayes classification, neural networks, deep learning, machine learning versus deep learning, and support vector machines. Each topic is presented with concise academic content followed by Bloom’s Taxonomy-aligned questions from L1 Remember to L6 Create. The question structure enables progressive assessment from basic recall and conceptual understanding to application, analysis, evaluation, and creative problem-solving. The document also includes a front sheet, preface, table of contents, page numbering, DOI reference, and back sheet, making it suitable as a book-format academic teaching-learning material.
Author: Lokesh M R
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7162528877
FWCI:
Cites:
Cited by:
Related to: