Neural networks are computing systems inspired by the biological neural networks that constitute animal brains. They are a subset of machine learning and artificial intelligence. Key Characteristics / Core Concepts Artificial Neurons: These are the fundamental processing units, mimicking biological neurons. They receive input, perform calculations, and produce output. Layers: Neural networks are organized into … Read more
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. It bridges the gap between human communication and computer understanding, allowing machines to process and analyze vast amounts of textual and spoken data. Key Characteristics / Core Concepts Understanding Context: NLP algorithms … Read more
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Key Characteristics / Core Concepts Machine Learning: AI systems learn from data without explicit programming. Deep Learning: A subset of machine learning using artificial neural networks with multiple layers. Natural Language Processing (NLP): … Read more