www.greatlearningminds.com TYPES OF MACHINE LEARNING ALGORITHMS www.greatlearningminds.com SUPERVISED LEARNING: DESCRIPTION: IN SUPERVISED LEARNING, THE ALGORITHM IS TRAINED ON A LABELED DATASET, WHERE THE INPUT DATA IS PAIRED WITH CORRESPONDING OUTPUT LABELS. THE MODEL LEARNS TO MAP THE INPUT DATA TO THE CORRECT OUTPUT, MAKING PREDICTIONS ON NEW, UNSEEN DATA. EXAMPLE: CLASSIFICATION AND REGRESSION PROBLEMS, LIKE SPAM DETECTION OR PREDICTING HOUSE PRICES. UNSUPERVISED LEARNING: DESCRIPTION: UNSUPERVISED LEARNING DEALS WITH UNLABELED DATA. THE ALGORITHM EXPLORES THE INHERENT STRUCTURE WITHIN THE DATA WITHOUT EXPLICIT GUIDANCE. IT AIMS TO FIND PATTERNS, RELATIONSHIPS, OR GROUPINGS WITHIN THE DATASET. EXAMPLE: CLUSTERING ALGORITHMS, DIMENSIONALITY REDUCTION, AND ASSOCIATION RULE LEARNING. REINFORCEMENT LEARNING: DESCRIPTION: REINFORCEMENT LEARNING INVOLVES AN AGENT LEARNING TO MAKE DECISIONS BY INTERACTING WITH AN ENVIRONMENT. THE ALGORITHM RECEIVES FEEDBACK IN THE FORM OF REWARDS OR PENALTIES BASED ON ITS ACTIONS, ALLOWING IT TO LEARN THROUGH TRIAL AND ERROR. EXAMPLE: TRAINING ALGORITHMS TO PLAY GAMES, NAVIGATE ROBOTS, OR OPTIMIZE DECISION-MAKING PROCESSES. www.greatlearningminds.com ENROLL NOW IN GREAT LEARNING MINDS, OFFERS THE WORLD'S NO#1 BEST MACHINE LEARNING COURSE , FOR EXPERT GUIDANCE AND BEST LEARNING. CALL NOW FOR MORE DETAILS - +91 9899646969