Artificial Intelligence Fundamentals
Expert-defined terms from the Professional Certificate in Artificial Intelligence for Health and Safety course at LearnUNI. Free to read, free to share, paired with a professional course.
Artificial General Intelligence refers to a type of intelligence that ena… #
It involves creating machines that can reason, solve problems, and learn like humans. Artificial General Intelligence is still a topic of research and has not yet been achieved.
Artificial Intelligence is a broad field of study that focuses on creatin… #
It involves a range of techniques, including machine learning, natural language processing, and computer vision.
Backpropagation is a method used in machine learning to train artificial… #
It involves calculating the error between the network's predictions and the actual outputs, and then adjusting the network's weights and biases to minimize the error.
Bayesian Network is a probabilistic graphical model that represents relat… #
It is used in machine learning to model complex systems and make predictions based on uncertain data.
Bias #
Variance Tradeoff refers to the tradeoff between the bias and variance of a machine learning model. A model with high bias pays little attention to the training data and oversimplifies the relationship between the inputs and outputs. A model with high variance is overly complex and fits the training data too closely.
Chatbot is a computer program that uses natural language processing to si… #
Chatbots are often used in customer service and tech support.
Classification is a type of supervised learning in which a machine learni… #
Examples of classification tasks include spam vs. non-spam emails and tumor vs. non-tumor images.
Clustering is a type of unsupervised learning in which a machine learning… #
Clustering is often used in customer segmentation and gene expression analysis.
Cognitive Architectures refer to software frameworks that simulate human… #
Cognitive architectures are used in a range of applications, including robotics and natural language processing.
Computer Vision is a field of study that focuses on enabling computers to… #
Computer vision involves a range of techniques, including image processing, object recognition, and machine learning.
Convolutional Neural Network is a type of neural network that is particul… #
Convolutional neural networks use convolutional and pooling layers to extract features from images.
Decision Tree is a type of machine learning model that uses a tree #
like graph to classify instances or make predictions. Decision trees are often used in data mining and business intelligence.
Deep Learning is a subfield of machine learning that involves the use of… #
Deep learning models are often used in applications such as image recognition, natural language processing, and speech recognition.
Dimensionality Reduction is a technique used in machine learning to reduc… #
Dimensionality reduction is often used to improve the performance of machine learning models and reduce overfitting.
Ensemble Method is a technique used in machine learning to combine the pr… #
Ensemble methods are often used to improve the performance and robustness of machine learning models.
Expert System is a computer program that uses knowledge and inference<… #
Expert systems are often used in applications such as medical diagnosis and financial planning.
Face Recognition is a technology that uses computer vision and machine le… #
Face recognition is often used in security and surveillance applications.
Feature Engineering is the process of selecting and transforming r… #
Feature engineering is a critical step in the machine learning pipeline.
Feature Extraction is the process of extracting relevant features from ra… #
Feature extraction is often used in applications such as image and speech recognition.
Generative Model is a type of machine learning model that generates new d… #
Generative models are often used in applications such as image and video generation.
Gradient Boosting is a machine learning algorithm that combines multiple… #
Gradient boosting is often used in applications such as classification and regression.
Image Processing is a field of study that focuses on enhancing and interp… #
Image processing involves a range of techniques, including filtering, thresholding, and feature extraction.
Instance #
Based Learning is a type of machine learning that involves storing instances of data and making predictions based on their similarities. Instance-based learning is often used in applications such as recommendation systems.
K-Means Clustering is a type of unsupervised learning that groups similar… #
K-means clustering is often used in applications such as customer segmentation and gene expression analysis.
K-Nearest Neighbors is a type of machine learning algorithm that makes pr… #
K-nearest neighbors is often used in applications such as classification and regression.
Linear Regression is a type of machine learning algorithm that models the… #
Linear regression is often used in applications such as forecasting and prediction.
Machine Learning is a field of study that focuses on enabling computers t… #
Machine learning involves a range of techniques, including supervised and unsupervised learning.
Natural Language Processing is a field of study that focuses on enabling… #
Natural language processing involves a range of techniques, including text processing, sentiment analysis, and machine translation.
Neural Network is a type of machine learning model that is inspired by th… #
Neural networks are often used in applications such as image recognition, natural language processing, and speech recognition.
Overfitting occurs when a machine learning model is too complex and fits… #
Overfitting can result in poor performance on new, unseen data.
Pattern Recognition is a field of study that focuses on enabling computer… #
Pattern recognition involves a range of techniques, including machine learning and statistical modeling.
Predictive Modeling is a type of machine learning that involves making pr… #
Predictive modeling is often used in applications such as forecasting and recommendation systems.
Principal Component Analysis is a technique used in machine learning to r… #
Principal component analysis is often used to improve the performance of machine learning models and reduce overfitting.
Recommendation System is a type of machine learning system that suggests… #
Recommendation systems are often used in e-commerce and online advertising.
Reinforcement Learning is a type of machine learning that involves traini… #
Reinforcement learning is often used in applications such as robotics and game playing.
Regression is a type of supervised learning in which a machine learning m… #
Regression is often used in applications such as forecasting and prediction.
Robotic Process Automation is a type of automation that uses software rob… #
Robotic process automation is often used in applications such as data entry and customer service.
Self #
Organizing Map is a type of neural network that is used for dimensionality reduction and clustering. Self-organizing maps are often used in applications such as image recognition and natural language processing.
Sentiment Analysis is a type of natural language processing that involves… #
Sentiment analysis is often used in applications such as customer service and market research.
Speech Recognition is a type of machine learning that involves recognizin… #
Speech recognition is often used in applications such as voice assistants and transcription services.
Supervised Learning is a type of machine learning in which a model is tra… #
Supervised learning is often used in applications such as image recognition and natural language processing.
Support Vector Machine is a type of machine learning algorithm that is us… #
Support vector machines are often used in applications such as text classification and bioinformatics.
Text Mining is a type of natural language processing that involves extrac… #
Text mining is often used in applications such as customer service and market research.
Time Series Analysis is a type of statistical analysis that involves anal… #
Time series analysis is often used in applications such as forecasting and financial analysis.
Transfer Learning is a type of machine learning that involves using a pre #
trained model as a starting point for a new task. Transfer learning is often used in applications such as image recognition and! natural language processing.
Unsupervised Learning is a type of machine learning in which a model is t… #
Unsupervised learning is often used in applications such as clustering and dimensionality reduction.
Virtual Assistant is a type of software that uses natural language proces… #
Virtual assistants are often used in applications such as customer service and tech support.
Weak AI refers to a type of artificial intelligence that is designed to p… #
Weak AI is often used in applications such as virtual assistants and language translation software.
AI for Health and Safety refers to the application of artificial intellig… #
AI for health and safety involves a range of techniques, including predictive modeling, natural language processing, and computer vision.
AI #
Powered Chatbots are computer programs that use artificial intelligence and machine learning to simulate conversation with human users. AI-powered chatbots are often used in applications such as customer service and tech support.
Anomaly Detection is a type of machine learning that involves identifying… #
Anomaly detection is often used in applications such as fraud detection and network security.
Big Data refers to large and complex datasets that are difficult to analyze usin… #
Big data involves a range of techniques, including machine learning, natural language processing, and data mining.
Business Intelligence is a type of software that uses data analysis and v… #
Business intelligence involves a range of techniques, including reporting, analytics, and data mining.
Cloud Computing is a type of computing that involves storing and processi… #
Cloud computing involves a range of techniques, including virtualization, scalability, and on-demand access.
Cognitive Computing is a type of computing that involves simulating human… #
Cognitive computing involves a range of techniques, including natural language processing, machine learning, and computer vision.
Computer Vision for Health and Safety refers to the application of computer</… #
Computer vision for health and safety involves a range of techniques, including image recognition, object detection, and tracking.
Cybersecurity is a type of security that involves protecting computer sys… #
Cybersecurity involves a range of techniques, including encryption, firewalls, and intrusion detection.
Data Analytics is a type of analysis that involves using data and statist… #
Data analytics involves a range of techniques, including reporting, analytics, and data mining.
Data Mining is a type of analysis that involves automatically discovering… #
Data mining involves a range of techniques, including machine learning, natural language processing, and statistical modeling.
Data Science is a type of science that involves using data and statistica… #
Data science involves a range of techniques, including machine learning, natural language processing, and data visualization.
Decision Support System is a type of system that uses data and statistica… #
Decision support systems involve a range of techniques, including reporting, analytics, and data mining.
Deep Learning for Health and Safety refers to the application of deep lea… #
Deep learning for health and safety involves a range of techniques, including image recognition, object detection, and tracking.
Digital Transformation is a type of transformation that involves using di… #
Digital transformation involves a range of techniques, including cloud computing, big data, and artificial intelligence.
Data Visualization is a type of visualization that involves using graphic… #
Data visualization involves a range of techniques, including charts, graphs, and maps.
Edge AI refers to a type of artificial intelligence that is designed to o… #
Edge AI involves a range of techniques, including machine learning, natural language processing, and computer vision.
Explainable AI refers to a type of artificial intelligence that is design… #
Explainable AI involves a range of techniques, including model interpretability, transparency, and explainability.
Health Informatics is a type of informatics that involves using informati… #
Health informatics involves a range of techniques, including electronic health records, telemedicine, and clinical decision support systems.
Human #
Computer Interaction is a type of interaction that involves designing and evaluating interfaces to support human-computer interaction. Human-computer interaction involves a range of techniques, including user experience design, usability testing, and accessibility.
Image Recognition is a type of recognition that involves using computer v… #
Image recognition involves a range of techniques, including deep learning, convolutional neural networks, and transfer learning.
Industrial Automation is a type of automation that involves using control… #
Industrial automation involves a range of techniques, including robotics, computer vision, and machine learning.
Information Retrieval is a type of retrieval that involves using search a… #
Information retrieval involves a range of techniques, including natural language processing, machine learning, and data mining.
Internet of Things refers to a type of network that involves connecting p… #
Internet of things involves a range of techniques, including sensor networks, cloud computing, and artificial intelligence.
Knowledge Discovery is a type of discovery that involves using data and s… #
Knowledge discovery involves a range of techniques, including machine learning, natural language processing, and data mining.
Machine Learning for Health and Safety refers to the application of machine</… #
Machine learning for health and safety involves a range of techniques, including predictive modeling, natural language processing, and computer vision.
Medical Imaging is a type of imaging that involves using computer vision… #
Medical imaging involves a range of techniques, including image recognition, object detection, and tracking.
Natural Language Processing for Health and Safety refers to the application of <… #
Natural language processing for health and safety involves a range of techniques, including text analysis, sentiment analysis, and topic modeling.
Predictive Analytics is a type of analytics that involves using statistic… #
Predictive analytics involves a range of techniques, including regression, decision trees, and neural networks.
Prescriptive Analytics is a type of analytics that involves using statist… #
Prescriptive analytics involves a range of techniques, including optimization, simulation, and decision analysis.
Quality Control is a type of control that involves using statistical meth… #
Quality control involves a range of techniques, including inspection, testing, and certification.
Recommendation Systems for Health and Safety refer to the application of reco… #
Recommendation systems for health and safety involve a range of techniques, including collaborative filtering, content-based filtering, and knowledge-based systems.
Robotics is a type of robotics that involves using robots and artificial… #
Robotics involves a range of techniques, including computer vision, machine learning, and control systems.
Safety Management is a type of management that involves using statistical… #
Safety management involves a range of techniques, including risk assessment, hazard analysis, and incident reporting.
Speech Recognition for Health and Safety refers to the application of speech<… #
Speech recognition for health and safety involves a range of techniques, including voice recognition, speech-to-text, and voice assistants.
Supply Chain Management is a type of management that involves using stati… #
Supply chain management involves a range of techniques, including demand forecasting, inventory management, and logistics optimization.
Time Series Forecasting is a type of forecasting that involves using stat… #
Time series forecasting involves a range of techniques, including autoregressive integrated moving average, exponential smoothing, and seasonal decomposition.
Virtual Reality is a type of reality that involves using computer simulat… #
Virtual reality involves a range of techniques, including 3D modeling, computer vision, and haptic feedback.
Workplace Safety refers to the safety of workers in the workplace, includ… #
Workplace safety involves a range of techniques, including risk assessment, hazard analysis, and incident reporting.