Deep learning vs machine learning: What’s the real difference?

AI’s evolution has brought to the forefront two key terms: Deep Learning and Machine Learning. Machine Learning (ML) harnesses historical data, leveraging statistical algorithms to recognise patterns and make predictions about new observations. Machine Learning, the foundation for other AI methodologies, including deep learning, primarily relies on past experiences or data. Often equated with Artificial Neural Networks (ANN), deep learning models consist of layered parameters. Deep learning models excel in recognising patterns in complex forms like images or documents.