AI Glossary & Dictionary for “T”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “T”:
Target Variable: In supervised learning, the variable that the model aims to predict.
Temperature: A parameter in softmax or language models that controls how deterministic or random predictions are.
Temporal Data: Data indexed over time, such as sales by day or engagement by hour, requiring models that capture sequence patterns.
Tensor: A multi‑dimensional array of numbers used to represent data in machine learning.
TensorFlow: An open‑source framework for building and training machine‑learning models.
Test Set: A portion of data reserved for evaluating model performance after training.
Text Mining: Extracting useful information and patterns from text data.
Threshold: A cut‑off value used to decide classification outcomes or filter data.
Time Series: A sequence of data points recorded over time; forecasting models predict future values.
Token: A basic unit of text (word or subword) used by natural language models.
Tokenization: The process of splitting text into tokens for processing by language models.
Topic Modeling: Algorithms that discover the main themes in a collection of documents, such as customer reviews.
Training Data: The portion of data used to train a model; it must be representative of the problem space.
Transfer Learning: Leveraging a model trained on one task as the starting point for a related task to reduce training time and data needs.
Transformer: A neural architecture based on self‑attention that has revolutionized natural language processing and, increasingly, vision.
Translation: Converting text from one language to another using AI; critical for global marketing.
Tree Ensemble: A group of decision trees whose predictions are combined to improve accuracy, such as random forests and gradient boosting.
True Positive: A correctly identified positive instance in classification.
True Negative: A correctly identified negative instance in classification.
Tuning: The process of adjusting a model’s hyperparameters to achieve better performance.
Two‑Stream Network: A neural architecture that processes two separate streams of input, often used in video analysis.
This concludes the AI Glossary & Dictionary for “T”.