AI/ML & Deep Learning 2025

Course Overview

Artificial Intelligence (AI) and Machine Learning (ML) are transformative fields in computer science that enable machines to learn from data and perform tasks that typically require human intelligence. AI is a broad concept that encompasses systems designed to mimic human cognition, including problem-solving, reasoning, and decision-making. ML, a subset of AI, focuses on developing algorithms that allow computers to improve their performance over time without explicit programming.

ML is categorized into three main types: supervised learning, where models learn from labeled data to make predictions (e.g., spam detection); unsupervised learning, which finds hidden patterns in data without predefined labels (e.g., customer segmentation); and reinforcement learning, where agents learn by interacting with an environment to maximize rewards (e.g., self-driving cars). Deep learning, a specialized branch of ML, utilizes neural networks inspired by the human brain to process complex data, making it essential for applications like image recognition and natural language processing (NLP).