Every dataset you actually understand today is one less mystery in the model tomorrow.
A diploma student asks Sumantrak
“explain the difference between supervised and unsupervised learning”
Supervised learning trains on labeled data — the model learns from input-output pairs where the correct answer is already known, like predicting house prices from past sales. Unsupervised learning works on unlabeled data, finding patterns or groupings on its own, like clustering customers by behavior without being told the groups in advance. Viva tip: examiners often ask for a one-line example of each — supervised: spam email classification; unsupervised: customer segmentation.
Subjects Sumantrak covers for AI & Machine Learning
Big Data AnalyticsPrinciples of Image ProcessingOperating SystemAI & ML AlgorithmsAdvanced Database ManagementCloud Computing for Data ScienceNatural Language ProcessingJava ProgrammingMathematics for Machine LearningMicroprocessor ProgrammingDatabase Management SystemStatistical Modelling for Machine LearningData Structure Using PythonFundamentals of ICT