Applied Machine Learning

Applied machine learning deploys the practical application of machine learning techniques to solve real-world problems. It operates in a series of steps, starting with problem definition, data collection, and processing, moving on to select a machine learning algorithm and its adaption to the specific need, and continuing to model’s performance evaluation, deployment, and maintenance. This process is activated in a variety of fields, including healthcare, finance, marketing, and cyber, and aids with forecasting, data classification, pattern recognition, and automatic decision-making.