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• Image Recognition: When you upload a picture, an automatic tag recognition system used by applications like
                Facebook, suggests people to tag. It uses a face recognition algorithm for the same.




















                 • Speech Recognition: We all love to speak out our messages to Siri, Google assistant, Amazon Alexa etc. These
                speech recognition devices use machine learning to understand spoken language and convert speech to text
                and respond accordingly.

















                 • Anomaly Detection: In medical diagnostics, anomaly detection helps in identifying unusual patient readings,
                such as abnormal heart rates or spikes in blood pressure. For instance, by analysing patient data like age,
                blood pressure, and heart rate, algorithms such as Isolation Forest can detect irregular patterns. These flagged
                anomalies may indicate conditions like arrhythmia or hypertension, enabling early intervention and start timely
                treatment.






















                 • Fraud and Risk Detection: The Banking and finance sector uses machine learning to analyse customer data, like
                profiling, past expenditures, and other key variables to assess risks, defaults, and potential failures. This helps
                them minimise bad debts and losses by offering banking products based on a customer’s purchasing power.




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