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Machine learning teaches computers to learn from examples. When shown data, computers can recognize patterns and make predictions without explicit instructions. This technology is used to make recommendations for movies on your favorite streaming platforms or to predict trends in finance. 

NLP helps computers understand and generate human language. It’s what makes virtual assistants like Siri or Alexa able to understand your commands and respond naturally. NLP also powers language translation tools and sentiment analysis in social media. 

Computer vision lets machines “see” and understand visual information. It’s used in facial recognition systems, self-driving cars to recognize objects on the road, and in quality control for manufacturing processes. 

Predictive analytics uses AI to forecast future outcomes based on past data patterns. It’s handy in finance for predicting stock prices, healthcare for anticipating patient outcomes, and marketing for identifying potential customers.

RPA automates repetitive tasks, allowing machines to handle mundane jobs and streamline workflows. It’s used in industries like banking to process transactions, logistics to manage inventory, and customer service to answer common queries.