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What is Data simulation?

Data simulation is the creation of virtual datasets that mimic real-world data conditions. It is widely used in AI research, finance, and healthcare to analyze scenarios, optimize decision-making, and reduce risks without exposing sensitive information.

Raw data
Raw data refers to unprocessed information collected from various sources, such as sensors, databases, or surveys. It lacks structure and requires cleaning, transformation, and analysis before being used in decision-making, machine learning, or statistical modeling.
Computer Audition
Computer audition is the field of artificial intelligence that enables machines to analyze and interpret audio signals, including speech, music, and environmental sounds. It is used in applications such as speech recognition, music recommendation, acoustic event detection, and audio forensics. By leveraging deep learning and signal processing, computer audition enhances human-computer interaction and automation in audio-related tasks.
Market data
Market data refers to real-time and historical information on financial instruments, stock prices, trading volumes, and economic indicators. It is used by investors, financial analysts, and regulatory bodies to assess market conditions, perform risk analysis, and inform trading strategies.

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