Machine learning is about enabling computers to discover patterns and train models from data instead of following step-by-step instructions.
It covers use cases from image classification and price prediction to natural language understanding and recommendation systems. The technology underpins many AI services we use daily, from mobile apps to complex enterprise systems.
Typical workflows involve data collection, preprocessing, model training, evaluation and finally deployment and monitoring. Machine learning has advanced rapidly thanks to open frameworks like TensorFlow, PyTorch and scikit-learn, driven by both research and practical industry needs.















