Artificial Intelligence (AI) : Artificial intelligence is the simlulation of human intelligence in machines that are programmed to think like humans and mimic their actions .
Machine Learning ( ML) : Machine learning is a subset of AI that allows systems to learn and improve from experience without being explicity programmed .
Deep Learning: Deep learning is a type of machine learning that uses artificial neural networks to learn from data . Artificial neutal networks are inspired by the structure and function of the human brain .
Neural Networks : Neural Network are a type of machine learning algorithm that is inspired by the structure and function of the human brain . Neural network are composed of nodes or neuros that are connected to each other by weights.
Natural Language Processing (NLP): Natural Languages Processing is a field of AI That deals with the interaction Between computers and human languages NLP is used in a variety of applications such as machine translation, chatbots, and sentiment analysis .
Computer Vision: Computer vision is a field of AI that deals with the ability of computer to interpret and understand visual information . computer vision is used in a variety of applications such as facial recognition, object detection, and self driving cars.
Robotics : Robotics is the field of engineering that deals with the design , construction, operation , and application of robots . Robots are machines that are able to perform task automatically , especially tasks that are dangerous repetitive or difficult for humans to perform
Data Science: Data science is a field that combines computer science, statistics, and domain expertise to extract knowledge and insights from data. Data science is used in a variety of applications, such as fraud detection, customer segmentation, and product development.
Big Data: Big data is a term used to describe large and complex data sets that are too large or complex to be processed by traditional methods. Big data is used in a variety of applications, such as fraud detection, customer segmentation, and product development.
Cloud Computing: Cloud computing is a model of delivering computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale.
Internet of Things (IoT): The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.
Augmented Reality (AR): Augmented reality (AR) is a type of technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view.
Virtual Reality (VR): Virtual reality (VR) is a type of technology that immerses a user in a simulated environment. VR is used in a variety of applications, such as gaming, training, and entertainment.
Ethics of AI: The ethics of AI is a field of study that deals with the ethical implications of AI. The ethics of AI is a complex and important topic, as AI has the potential to impact society in a variety of ways.
Bias in AI: Bias in AI is a type of error that occurs when a machine learning algorithm is unfairly biased towards a particular group of people. Bias in AI can have a number of negative consequences, such as discrimination and unfairness.