Скачать или смотреть What Is Model Monitoring? - Next LVL Programming

What Is Model Monitoring? In this informative video, we'll cover the essential aspects of model monitoring in machine learning. We'll define what model monitoring is and discuss its importance in maintaining the accuracy and effectiveness of deployed models. You will learn about key performance metrics, such as accuracy, precision, recall, and F1 score, and how they help assess a model's performance over time.

We will also address the challenges posed by real-world data changes, including data drift and concept drift, and how model monitoring systems can identify these issues. By setting up automated alerts and utilizing tools for fairness and bias checks, programmers can ensure that their models deliver reliable and equitable outcomes.

Additionally, we will touch on the role of explainability in model monitoring, exploring techniques that clarify model predictions. You'll discover how integrating model monitoring into Machine Learning Operations pipelines can streamline the process of training, deploying, and overseeing models.

Join us as we discuss the ongoing responsibilities of model monitoring and how it supports continuous improvement in machine learning systems. Subscribe to our channel for more helpful content on programming and coding concepts.

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