If you like the video, please click "Like" and hit the subscribe button. Also, feel free to share the video with your friends. Unveiling the Strengths and Challenges of Different Learning Paradigms in AI. Supervised learning is a cornerstone of machine learning, guiding algorithms to predict outcomes based on labeled data. It's like teaching a child with examples, where each example comes with an answer key. Unsupervised learning, by contrast, finds patterns in data without pre-existing labels. It's like exploring a new city without a map, discovering hidden structures and relationships within the data itself. Reinforcement learning adopts a distinctive strategy by learning through interaction. It dynamically adjusts actions based on feedback from the environment, aiming to maximize some notion of cumulative reward. #AI #BigData #ArtificialIntelligence #DataScience #MachineLearning #DeepLearning #dataanalytics