Tensor
A tensor stores numerical data and changes under strict rules when there is a change of coordinates.
Tensor Processing Unit (TPU)
A Tensor Processing Unit (TPU) is a computer chip developed by google that handles mathematical operations in machine learning swiftly and efficiently.
TensorBoard
A TensorBoard is a visualization tool that displays how well the machine learning framework, usually tensorflow, is working.
Tensorflow
Tensorflow is a publicly accessible open-source AI framework developed by Google. It is a framework for more efficient use of machine learning and numerical computation.
Token
Tokens are AI-based currencies that are either powered by or utilized in AI products.
Training
The teaching that is used for AI to properly interpret data. It is primarily taught how to perform with accuracy and speed.
Training Set
Training Sets are sample data utilized during the training of machine learning (ML) processes. They are fed to the ML algorithms which predict and analyze within the dataset to develop a more advanced algorithm.
Transfer Learning
Transfer learning is an efficient method of transferring information from one machine learning task to another.
Transformer
A transformer is a deep learning & neural machine learning model that self-transforms one type of data input into another.
Tree Search
A tree search is a method in AI that navigates through a hierarchical structure to perform various functions. It is called a tree search as the process of finding information resembles a tree.
Underfitting
Underfitting arises when a model fails to grasp the underlying patterns between input and output variables, leading to high errors on training and test data. This issue often stems from overly simplistic models, insufficient training time, inadequate input features, or excessive regularization.
Unstructured Data
Unstructured Data refers to data that does not have a predefined layout and lacks a consistent and organized structure like a database. It instead appears as other various formats such as text documents, images, audio, video, and more, which ultimately results in a relatively complex analyzing process compared to structured data.
Unsupervised ML
Unsupervised ML analyzes, clusters, and associates unlabeled or raw datasets using machine learning algorithms.
Variable
In AI, a variable is a labeled placeholder for data, so that AI systems can store and manipulate the data within when needed.
Vector
A quantity that has both magnitude and direction.
Weight
In AI, weight refers to a value for the strength in connection between artificial neurons. This determines how information is utilized within a neural network.
XGBoost
XGBoost, which stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems.
YAML
YAML is a human-readable data serialization standard that can be used in conjunction with all programming languages and is often used to write configuration files. It can be used with nearly any application that needs to store or transmit data because it’s made up of elements of other languages.
Zero-Shot Learning
Zero-shot learning is a machine learning setup in which the model can recognize objects or concepts it has never explicitly been given in training.