exam syllabus completion list, syllabus: ai project cycle, python programming
AI Project Cycle
- Clearly outline the goals and objectives of the AI project
- Identify the scope of the project and the problem it aims to solve
- Collect relevant data sources for the project
- Clean and preprocess the data to make it suitable for model training
- Choose appropriate algorithms and techniques for the project
- Develop and train AI models using Python programming
- Assess the performance of AI models using metrics like accuracy and loss
- Fine-tune models based on evaluation results
- Integrate AI models into the desired application or system
- Implement monitoring mechanisms to track model performance
- Document the project process and results
- Present findings to stakeholders or decision-makers
Use in Manifestly