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Must-Have Skills for a Machine Learning Engineer

Pickl AI

Key concepts include: Cross-validation Cross-validation splits the data into multiple subsets and trains the model on different combinations, ensuring that the evaluation is robust and the model doesn’t overfit to a specific dataset. Scalability Considerations Scalability is a key concern in model deployment.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? I regularly participate in online courses, webinars, and conferences related to data analytics.