Key applications of AI in Data Science include:
Predictive Analytics: AI helps in analyzing historical data to make accurate future predictions.
Natural Language Processing (NLP): Enables machines to understand and generate human language, used in chatbots, sentiment analysis, and language translation.
Computer Vision: AI algorithms help analyze visual data, aiding in facial recognition, object detection, and autonomous driving.
Recommendation Systems: AI powers recommendation engines, used in platforms like Netflix or Amazon, to suggest products or content based on user behavior.
Anomaly Detection: AI helps in identifying unusual patterns in data, used in fraud detection, cybersecurity, and quality control.
From India, Mumbai
Predictive Analytics: AI helps in analyzing historical data to make accurate future predictions.
Natural Language Processing (NLP): Enables machines to understand and generate human language, used in chatbots, sentiment analysis, and language translation.
Computer Vision: AI algorithms help analyze visual data, aiding in facial recognition, object detection, and autonomous driving.
Recommendation Systems: AI powers recommendation engines, used in platforms like Netflix or Amazon, to suggest products or content based on user behavior.
Anomaly Detection: AI helps in identifying unusual patterns in data, used in fraud detection, cybersecurity, and quality control.
From India, Mumbai
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