Automation refers to the use of technology to perform tasks or processes with minimal human intervention. It involves the implementation of systems, software, and machinery to streamline operations, increase efficiency, and reduce manual effort. Automation can be applied to various domains and industries, ranging from manufacturing and logistics to information technology and customer service.
ML is a subset of AI that focuses on algorithms and statistical models that enable computers to perform tasks without explicit instructions. It includes techniques like supervised learning, unsupervised learning, and reinforcement learning.
DL is a subfield of ML that deals with algorithms inspired by the structure and function of the brain's neural networks.
Deep neural networks have achieved remarkable success in tasks such as image and speech recognition, natural language processing (NLP), and more.
NLP focuses on the interaction between computers and humans through natural language. Applications include sentiment analysis, language translation, chatbots, and text summarization.
Computer vision involves enabling computers to interpret and understand the visual world, primarily through digital images or videos. It's used in facial recognition, object detection, autonomous vehicles, medical image analysis, and more.
