AI Terminology
Welcome to the AI Terminology section of the AI blog! This comprehensive glossary is designed to help you navigate the complex world of artificial intelligence. Here, you’ll find clear, concise definitions and explanations of key terms and concepts in AI, from foundational ideas like machine learning and neural networks to advanced topics such as reinforcement learning and variational autoencoders. Whether you’re a beginner or an expert, this resource is tailored to enhance your understanding and keep you updated with the latest advancements in the field.
Deep Reinforcement Learning
Dive into Deep Reinforcement Learning: Understand how AI learns from mistakes to improve decisions in complex environments. Perfect for tech enthusiasts and professionals.
Attention Mechanism
An Attention Mechanism is a neural network component that prioritizes relevant information in data, enhancing context understanding and model accuracy.
Deep Learning
Deep learning is a branch of artificial intelligence that deals with the simulation of human intelligence by machines.
Statistics
Explore the essence of statistics in AI: Understand how data collection, analysis, and interpretation fuel advancements in various fields.
Virtual Reality • VR
Discover the essence of virtual reality, its applications beyond gaming, and how it's transforming our digital experiences. Dive deeper with AI Blog.
Predictive Analytics
Discover the power of predictive analytics in offering businesses a competitive edge through accurate future trend predictions.
Unsupervised Learning
Unsupervised learning is a type of machine learning where the algorithm is trained on a dataset that does not have any labeled outcomes.
Artificial Narrow Intelligence • ANI
Artificial Narrow Intelligence (ANI) is a type of artificial intelligence that focuses on a single task.
Machine Translation
Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another.
Variational Autoencoder • VAE
A Variational Autoencoder (VAE) is a type of artificial neural network used in the field of machine learning for the purpose of generating new data.
Recurrent Neural Network • RNN
A recurrent neural network (RNN) is a type of neural network that is designed to handle sequences of data.
Machine Learning • ML
Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from experience and improve over time.
Supervised Learning
Supervised learning is a type of machine learning algorithm that involves learning from a set of training data that has been labeled with the correct answers.
Reinforcement Learning • RL
Reinforcement learning is a subfield of machine learning, concerned with how software agents can learn to behave in complex, uncertain environments. It relies on feedback from the environment in order to improve the agent's behavior.
Human-Computer Interface • HCI
A human-computer interface is the point of contact between a human user and a computer system.
Note: The above list of AI terms is sorted by the last update time.
AI Terminology Graph (interactive)
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