Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on creating systems capable of learning from data and improving their performance without being explicitly programmed. By leveraging algorithms and statistical models, machine learning enables computers to identify patterns, make predictions, and adapt to new information.

Natural Language Processing (NLP) is a field of artificial intelligence that enables machines to understand, interpret, and respond to human language. By combining linguistics, computer science, and machine learning, NLP allows computers to process and analyze large volumes of natural language data, such as text or speech.

Computer vision is a branch of artificial intelligence and machine learning that enables computers to interpret and make decisions based on visual data from the world, such as images or videos. By mimicking human vision, computer vision systems allow machines to analyze, process, and extract meaningful insights from visual inputs.

AI chatbots are intelligent software programs designed to simulate conversations with human users. They leverage artificial intelligence (AI), natural language processing (NLP), and machine learning to understand and respond to user queries in a natural, human-like manner. Chatbots are transforming how businesses interact with customers and how individuals access information, providing instant support and convenience.

Predictive analysis is a branch of advanced analytics that uses historical data, machine learning algorithms, and statistical techniques to predict future outcomes. It is widely used across industries to make informed decisions, optimize processes, and gain a competitive edge by forecasting trends and behaviors.

Neural networks are a subset of machine learning inspired by the structure and function of the human brain. They consist of layers of interconnected artificial neurons that process and learn from data, making them fundamental to deep learning and artificial intelligence (AI).