Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Machine Learning › AI ML Engineering Workflow

Model Development

feature · part of AI ML Engineering Workflow

In model development, engineers choose an appropriate model architecture based on the problem. For images, a Convolutional Neural Network (CNN) is often selected; for time series data, Recurrent Neural Networks (RNN) or Long Short-Term Memory (LSTM) networks are common. The choice of architecture directly impacts model performance.

Engineers experiment with algorithms such as random forests and support vector machines, and apply models to specific problems like predicting trends or automating decisions, e.g., training a neural network to classify medical images for tumor detection.

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