Artificial Intelligence (AI) and Machine Learning (ML) involve developing intelligent systems that can perform tasks requiring human-like cognition, such as decision-making, visual perception, language understanding, and predictive analytics. ML, a subset of AI, focuses on training algorithms to learn from data and make predictions without being explicitly programmed.
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Using AI and ML models to analyze historical data and predict future trends, behaviors, or outcomes. Common use cases include sales forecasting, customer behavior analysis, and risk assessment.
Developing systems that understand and interpret human language. NLP is used for chatbots, voice recognition systems, and sentiment analysis.
AI systems that can analyze and interpret visual data from images or video streams. This technology is commonly used in facial recognition, quality inspection, and autonomous vehicles.
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