Active Learning
Active learning is generally considered a subset of Machine Learning. It’s also sometimes referred to as a supervised form of machine learning. Here, the active
Category: Lexicon
Adversarial Machine Learning
It is a research field where Machine Learning meets computer security to enable the adoption of ML techniques in adversarial environments like malware detection, biometric
AI Data Labeling
Data labeling is the process of identifying and labeling samples of data used in Machine Learning. Labeling is especially critical when it comes to supervised
AIES – Artificial Intelligence Enabled Services
AIES or Artificial Intelligence Enabled Services refers to business processes or services that are integrated with AI technologies to improve their capabilities and enhance their
Annotation
Metadata attached to another piece of data that’s provided by a person who annotates. To process information, a computer needs information and context about the
Anomaly Detection
Anomaly detection involves the technique of identifying abnormal deviations in system behavior from established patterns. Any event that deviates significantly from the ordinary norm is
Artificial General Intelligence
Artificial General Intelligence (AGI) is a theoretical form of AI. It can understand and apply knowledge to multiple tasks in a way that reflects human
Artificial Neural Network
Artificial Neural Network (ANN) is an algorithm that processes and analyzes data like the human brain. The term “Neural” refers to how the algorithm is
Attributes
In Machine Learning, Attributes are data objects such as features, fields, and other variables. These attributes are predictors that influence results in predictive models. The
Backpropagation
The term “backpropagation” refers to the technique for training neural networks in which the system’s initial output is compared to the target output, and then
Bagging
The term “bagging,” which is an abbreviation for “Bootstrap Aggregating,” refers to a method used in machine learning to improve model accuracy and stability by
Big Data
The term refers to large data sets that are too complex to be managed and analyzed by traditional data processing software. Big Data is characterized
