Machine Learning Vs Deep Learning

Deep Learning and Machine Learning are two subfields of Artificial Intelligence (AI) that use algorithms to learn patterns and make predictions based on data. This article outlines the key differences between the two, including structure, complexity, and training. Deep Learning algorithms are based on neural networks, are designed to handle complex data, and require large amounts of labeled data to train. Machine Learning algorithms can have various structures, are designed for simpler problems with smaller data sets, and can be trained on smaller data sets and with less computational power.