In the context of machine learning and data science, a model is a mathematical or computational representation of a system or phenomenon. It is trained on a set of input data and corresponding output values, and is used to make predictions or classifications on new input data. A model can...
Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. It involves the use of computational techniques and algorithms to analyze, model, and process natural language data such as text, speech, and images. NLP has many applications,...
Predictive maintenance (PM) is a type of maintenance strategy that uses data analysis and machine learning techniques to predict when maintenance is needed for equipment or machinery. PM aims to reduce downtime and maintenance costs by identifying potential issues before they cause a failure or breakdown. PM typically involves monitoring...
A quantum computer is a type of computer that uses the principles of quantum mechanics to store and manipulate data. Unlike classical computers, which use binary digits (bits) to represent information, quantum computers use quantum bits (qubits) that can exist in multiple states simultaneously. This allows quantum computers to perform...
Reinforcement learning is a type of machine learning in which an agent learns to make decisions in an environment by receiving feedback in the form of rewards or punishments. The agent interacts with the environment by taking actions and receiving feedback based on those actions. The goal of reinforcement learning...
A robot is a mechanical device that is designed to perform a variety of tasks automatically or with minimal human intervention. Robots can be programmed to perform a wide range of activities, from manufacturing and assembly line work to exploration of hazardous environments or space missions. They are typically composed...
Strong AI, also known as artificial general intelligence (AGI), refers to AI systems that are capable of displaying human-like intelligence across a broad range of domains. Strong AI is hypothetical and aims to replicate human intelligence in all its complexity and flexibility. It would be capable of understanding and learning...
Weak AI, also known as narrow AI, refers to an AI system that is designed and trained to perform a specific task or set of tasks within a narrow domain. Unlike general artificial intelligence, which aims to replicate human-level intelligence across a wide range of domains, weak AI systems are...
General artificial intelligence, also known as artificial general intelligence (AGI), refers to the hypothetical ability of an AI system to perform any intellectual task that a human can do. Unlike specialized AI systems that are designed to perform specific tasks, AGI would have the ability to reason, learn, plan, and...