What are the main challenges in machine learning development?
An example of an AI chatbot conversation about challenges in machine learning development.
What are the main challenges in machine learning development?
Some key challenges include data quality, model complexity, and deployment issues.
Can you elaborate on data quality?
Sure! Data quality issues can arise from incomplete, biased, or noisy data, which can affect model performance.
What about model complexity?
Model complexity refers to how intricate a model is. Overly complex models can lead to overfitting, making them less generalizable.
How can we address deployment issues?
Deployment issues can be tackled by ensuring robust testing, monitoring, and having a clear strategy for scaling the model.
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