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The Machine Learning Glossary

Every definition in machine learning, deep learning, computer vision, and NLP

A
Annotation

Annotation

Annotation means any extra information that is attached to the data.
Artificial Neural Network

Artificial Neural Network

Artificial Neural Network is an algorithm that works in a similar fashion as the human brain processes and analyzes data.
B
Bounding Box

Bounding Box

Bounding Box is used in object detection in which the objects are wrapped around an imaginary rectangle.
C
Computer Vision

Computer Vision

Computer Vision is a field of Artificial Intelligence that focuses on developing techniques that help computers see and understand the content of digital images.
D
Dataset

Dataset

Dataset is a collection of meaningful data which the machine sees and learns.
Deep Learning

Deep Learning

Deep Learning is a sub-field of machine learning that works in a manner inspired by the neurons of the brain.
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F
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H
I
Image Preprocessing

Image Preprocessing

Image Preprocessing are the steps we take to convert a raw image into an enhanced form that the model is ready to use for training and inference.
Image Recognition

Image Recognition

Image recognition is the ability of the machine to identify objects, places, people in an image.
Image Segmentation

Image Segmentation

Image segmentation is a subfield of Artificial Intelligence and Computer Vision typically used to locate objects and boundaries in images.
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M
Machine Learning

Machine Learning

Machine Learning is a branch of Artificial Intelligence that allows computers to imitate humans in decision-making without being explicitly programmed.
N
Natural Language Processing

Natural Language Processing

Natural Language Processing refers to the branch of Artificial Intelligence that gives machines the ability to read, understand and derive meaning from languages, just like humans do.
O
Object Detection

Object Detection

Object detection is a technology that includes computer vision and image processing used to detect objects of a certain class in images or videos.
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Q
R
S
Semantic Segmentation

Semantic Segmentation

Semantic Segmentation involves a finer approach of labeling each pixel of an image with the class of its enclosing object or region.
T
Test Data

Test Data

Test data is a set of data that is used to test the model after complete training has been done.
Training Data

Training Data

Training Data is a set of data that is fed to any machine learning algorithm for it to learn and derive patterns and use this knowledge for further predictions.
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V
Validation Data

Validation Data

Validation Data is a set of data apart from the training data that is used to validate the model during training.
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