Foundational Concepts
AI Basics
Fundamental concepts and principles that form the foundation of Artificial Intelligence, including machine learning, neural networks, and data processing.
Explanation
AI Basics refers to the core building blocks required to understand how machines simulate human intelligence. This includes understanding the difference between Narrow AI and General AI, the role of algorithms, the importance of data sets for training models, and the basic mechanics of how computers learn from patterns rather than explicit programming. It covers introductory topics such as supervised and unsupervised learning, the concept of weights and biases in neural networks, and the ethical considerations surrounding automated decision-making.