📒Key Definitions

Key Concepts to Grasp for Deeper Understanding.

• Artificial Intelligence (AI): Artificial Intelligence is the creation of computer systems that can perform tasks which normally require human intelligence. These tasks include learning from experiences, understanding and responding to language, recognizing patterns or images, and making decisions. AI can be as simple as a program that recommends movies based on what you've watched before, or as complex as a self-driving car that interprets and navigates the road.

• Machine Learning (ML): This is the science of getting computers to act by learning from data. Machine Learning is a subset of Artificial Intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human direction.

• Neural Networks (NN): A neural network is a computer system designed to think and learn like the human brain. Just as our brains use neurons to process information and make decisions, a neural network uses digital "neurons" arranged in layers to process data. When you feed it examples—like pictures or sounds—it examines them, learns patterns, and gets better over time at making predictions or recognizing things, much like learning from experience.

• Deep Learning (DL): A subset of Machine Learning, Deep Learning uses neural networks with many layers (hence "deep"). These networks can learn complex patterns in large amounts of data, which is fundamental for tasks like image recognition, speech recognition, and natural language processing.

• Natural Language Processing (NLP): NLP involves the development of algorithms that allow computers to understand and process human language. The aim is for machines to interpret, generate, and learn from human language in a valuable way.