Page 82 - AI & Machine Learning for Beginners: A Guided Workbook

Computer Vision – An AI field enabling computers to derive

information from images and visual data.
Corpus – A collection of texts used for training language models

in NLP applications.

Data Mining – The process of discovering patterns and insights

within large datasets.
Deep Learning – A subset of ML using multi-layered neural

networks to recognize patterns in vast amounts of data.
Feature – A specific characteristic or measurable property of

data that an AI algorithm uses for learning.
Gradient Descent – An optimization algorithm used to minimize

errors in ML models by adjusting parameters iteratively.
Hyperparameter – A parameter whose value is set before the

learning process begins and helps control the model's performance.

Neural Network – A computing system inspired by the human

brain, designed to recognize patterns and process information.
Natural Language Processing (NLP) – An AI field focused on

interactions between computers and human language, including
text analysis and language generation.

Overfitting – When a model learns training data too well,

including noise and outliers, leading to poor generalization on new
data.

Regression – An ML task that involves predicting continuous

values based on input features.

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