Machine Learning vs Deep Learning

Machine Learning vs Deep Learning

Machine Learning (ML) and Deep Learning (DL) are two core areas of AI. ML uses algorithms to parse data, learn from it, and make decisions. DL, a subset of ML, uses neural networks with many layers to solve complex problems.

• ML: Works well with structured data and smaller datasets.
• DL: Excels with large datasets, unstructured data, and tasks like image and speech recognition.
• ML: Easier to interpret and requires less computational power.
• DL: Requires more data and computing resources but achieves higher accuracy in complex tasks.