Finance:
Fraud Detection: ML app development analyzes transaction patterns to identify and prevent fraud, like PayPal.
Risk Management: ML models assess various data to guide financial decision-making and credit evaluations.
Education:
Improved Search and Booking: ML improves search algorithms for finding relevant courses, like Evrlearn.
Intelligent Tutor Apps: ML-powered tutors provide custom support, such as Carnegie Learning’s MATHia.
LMS: ML personalizes course recommendations and tracks student engagement through platforms like Moodle.
Travel
Sentiment Analysis: ML analyzes reviews to gauge customer sentiment, helping companies improve services, as demonstrated by TripAdvisor.
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