Question

Explain the following stage of every AI project life-cycle: Building the Model

Hint:

Tip: Model building = right algorithm + clean data + fine-tuning = best results.

Answer 1

Building the Model is a core technical stage in the AI project life-cycle.
After understanding the requirements and preparing the data, the team develops and trains the AI model.
This involves selecting appropriate algorithms, setting parameters, and feeding clean data to the model.
The model learns patterns, relationships, and trends from the data through training.
It may go through multiple iterations to improve accuracy, reduce errors, and prevent overfitting.
Techniques like cross-validation, hyperparameter tuning, and performance metrics are applied to build an effective model.
Developers also compare different models to choose the best one.
A well-built model is essential for making reliable predictions and solving the defined problem effectively.
Once trained and tested, the model moves forward for evaluation and deployment.