91. What is model deployment? 92. What is batch vs real-time… — Data Science & Machine Learning Free Resources — TG.ME

91. What is model deployment? 92. What is batch vs real-time prediction? 93. What is model drift? 94. How do you monitor model performance? 95. What is feature store? 96. What is experiment tracking? 97. How do you explain model predictions? 98. What is data versioning? 99. How do you handle failed models? 100. How do you communicate results to non-technical stakeholders? Double Tap ♥️ For Detailed Answers

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