Term	Definition
AI	Artificial Intelligence – The broad science of making machines "intelligent" or capable of performing tasks that require human intelligence.
ML	Machine Learning – A subset of AI that focuses on training algorithms to learn patterns from data and make predictions or decisions.
DL	Deep Learning – A subfield of ML using neural networks with multiple layers to model complex patterns in data.
DS	Data Science – A multidisciplinary field combining statistics, computer science, and domain knowledge to extract insights from data.
EDA	Exploratory Data Analysis – The process of analyzing data sets to summarize their main characteristics.
NLP	Natural Language Processing – A field focused on the interaction between computers and human language.
Supervised Learning	ML tasks where the model is trained on labeled data (input-output pairs).
Unsupervised Learning	ML tasks where the model identifies patterns in data without labeled outputs.
Reinforcement Learning	A type of ML where an agent learns to make decisions by performing actions in an environment to maximize cumulative reward.
Overfitting	When a model learns noise in the training data, reducing its generalization performance.
Web Scraping	The automated process of extracting data from websites, commonly used to gather information for analysis or research.

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