Difference between Artificial Intelligence, Machine Learning and Deep Learning?
Artificial Intelligence (AI) is a broad term that refers to computer systems imitating human intelligence. AI is the intelligence of a machine that can be programmed to behave in a way that mirrors human intelligence. AI has been established as the most dominant trend in this decade and is making waves across industries ranging from education, finance, hospitality, and entertainment. The future of AI is promising, with the technology expected to create a multitude of opportunities and redefine how we work and live. The future of AI is promising, with the technology expected to create a multitude of opportunities and redefine how we work and live.
Machine Learning (ML) is a subset of artificial intelligence and it’s the ability for machines to learn without being explicitly programmed. ML enables computers to automatically improve their performance on specific tasks by analyzing large amounts of data and recognizing patterns in that data. ML uses three types of learning: supervised, unsupervised, and reinforcement learning. Unsupervised learning is a form of machine learning in which no labeled input data is given. Examples include self-organizing map (SOM) algorithms, clustering algorithms, and Radial Basis Function networks. This type of algorithm does not require a teacher or supervisor to teach it what to learn or how to learn
Deep Learning (DL) is a subset of machine learning and it’s the process by which neural networks are trained on large sets of data, such as images, to represent complex concepts, like cats or dogs. With Deep Learning, patterns emerge from observing millions of examples and processing them through layered neural networks. Can a company like Google use Deep Learning to tag images? Yes, but this is not the best use of Deep Learning because tagging is a task specific to Natural Language Processing. In contrast, deep learning algorithms excel at tasks like image classification. object detection and image segmentation. Machine learning means that a computer program can learn from experience without being explicitly programmed.