American Express
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Mathematics involved in recognizing speech data
Speech recognition involves statistical modeling and pattern recognition techniques
Mathematical algorithms are used to convert speech signals into digital representations
Signal processing techniques like Fourier analysis and wavelet transforms are used
Hidden Markov Models (HMMs) are commonly used for speech recognition
Statistical language models are used to improve recogni
The solution that won me the third prize in the 'Analyze this' competition was a machine learning model.
I developed a machine learning model using Python and scikit-learn library.
The model was trained on a large dataset of customer data and their purchasing behavior.
It used various features such as age, gender, income, and previous purchase history to predict the likelihood of a customer making a purchase.
I used cross-...
Credit risk refers to the potential for loss due to a borrower's failure to repay a loan or meet their financial obligations.
Credit risk is the risk that a borrower may default on their loan or fail to meet their financial obligations.
To analyze a person's credit risk, various factors are considered such as their credit history, income level, employment stability, and debt-to-income ratio.
Credit risk analysis involves ...
Fraud risk refers to the potential for fraudulent activities to occur. Identifying credit card fraud involves monitoring transactions and detecting suspicious patterns.
Fraud risk is the possibility of fraudulent activities happening, such as unauthorized use of credit cards.
To identify credit card fraud, monitor transactions for any suspicious or unusual activity.
Look for patterns like multiple transactions from differ...
Some of the top questions asked at the American Express Pget interview -
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