Machine learning differs from deep learning primarily in the complexity of models used and the amount of data required. Machine learning encompasses a broader range of algorithms and approaches for data analysis, such as supervised and unsupervised learning. In contrast, deep learning is a subset of machine learning that utilizes neural networks with many layers to analyze high-dimensional data. Deep learning often requires more extensive datasets and computational power to achieve superior performance in tasks like image and speech recognition.