Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably but have distinct characteristics. AI is the broader concept of creating machines that simulate human intelligence. ML is a subset of AI that focuses on algorithms that enable machines to learn from data. Deep Learning, a subset of ML, uses complex neural networks to replicate human intelligence in tasks like image and speech recognition.
While AI encompasses a broader range of techniques, ML and DL are more specific to algorithms that allow machines to learn and improve through experience. Deep Learning is particularly advanced, capable of handling complex tasks and large datasets.
Businesses across various industries use these technologies for tasks like customer service, predictive analysis, and image recognition. AI, ML, and DL have become essential tools for solving complex problems and improving efficiency in modern enterprises.