Dharun Kumar S

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

A Large Language Model (LLM) is a type of AI trained on massive datasets to understand and generate human-like text, code, images, and other content. Based on transformer architecture, they use deep learning to predict the next token in a sequence. Popular examples include ChatGPT, Perplexity, and Google's Gemini.

Reinforcement Learning (RL) is a machine learning approach where an autonomous agent learns to make decisions by interacting with an environment, receiving feedback through rewards or penalties.

Deep learning is a subset of machine learning based on artificial neural networks with multiple layers (hence "deep") that mimic the human brain to process data.

Machine learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data, identify patterns, and make decisions without explicit programming.

Content-based filtering (CBF) recommends items similar to what a user liked in the past by analyzing item features, while collaborative filtering (CF) recommends items based on the behavior and preferences of similar users.

Data mining identifies patterns in structured data using statistics and machine learning, while text mining applies natural language processing (NLP) and linguistic techniques to transform unstructured, textual data into structured information for analysis.