The discipline of Machine Learning makes it possible to traing alogrithms (mathematical models) so that machines can learn and automatically discover patterns from large volumes of structured data (tables, spreadsheets) and non-structured data (texts, images, audios). We develop Machine Learning and Computer Vision algorithms to automate and speed up tasks, improving efficiency and performance.
In a business context, arogithms can be employed for price prediction and customer churn analysis.
Price Prediction
A technique that allows predicting the price of any product (automobile prices, export product prices, real estate prices, etc.) based on a set of cualities that define it.
Churn Classification
A technique that classifies whether an individual will continue to be part, or not, of the customer portfolio (student dropout, policyholder churn, exployee turnover, etc.) based on the characteristics of the segment tp which they belong.