AWS Certified AI PractitionerAI/ML and Generative AI FundamentalsMedium
An AI/ML team is developing a new model and has just completed the data preparation phase. According to the standard machine learning lifecycle, what is the immediate next step?
- AModel Deployment
- BData Collection
- CModel Evaluation
- DModel Training
Show answer & explanationAnswer & explanation
Correct answer: D. Model Training
The machine learning lifecycle typically follows a sequence beginning with data collection, then preparation, followed by model training, evaluation, and finally deployment. After data preparation, the cleaned and transformed data is ready to be used for training the machine learning model.
Why the other options are wrong
- A. Model deployment happens after training and evaluation.
- B. Data collection is typically the first step, preceding data preparation.
- C. Model evaluation happens after training, to assess the model's performance.
ML Lifecycle: Training
The phase where a machine learning model learns patterns and relationships from the prepared data to make predictions or decisions.
- Occurs after data preparation.
- Involves feeding the algorithm with labeled or unlabeled data.
- The model adjusts its internal parameters based on the data.
Memory trick: Life 'cycles' through data, training, and deploying models.