Curious about what makes machine learning the engine behind today’s smart technologies-and yet so imperfect? This blog from Karpagam Tech breaks it down: from automating repetitive tasks, uncovering hidden patterns, and enabling scalable decision-making, to pitfalls like data dependency, high costs, algorithmic bias, and opaque “black-box” models. Dive in for a balanced, relatable look that helps both students and professionals understand the real power-and limitations-of ML.