chore: sync content to repo

src/data/roadmaps/mlops/content/data-lineage@6XgP_2NLuiw654zvTyueT.md

@@ -5,5 +5,4 @@
 Visit the following resources to learn more:
 
 - [@article@What is Data Lineage?](https://www.ibm.com/topics/data-lineage)
-- [@article@What is a Feature Store](https://www.snowflake.com/guides/what-feature-store-machine-learning/)
-- [@article@How Should We Be Thinking about Data Lineage?](https://towardsdatascience.com/how-should-we-be-thinking-about-data-lineage-541ca5ab83d0/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration)
+- [@article@What is a Feature Store](https://www.snowflake.com/guides/what-feature-store-machine-learning/)

src/data/roadmaps/mlops/content/experiment-tracking@fGGWKmAJ50Ke6wWJBEgby.md

@@ -5,6 +5,4 @@
 Visit the following resources to learn more:
 
 - [@article@Experiment Tracking](https://madewithml.com/courses/mlops/experiment-tracking/#dashboard)
-- [@article@ML Flow Model Registry](https://mlflow.org/docs/latest/model-registry.html)
-- [@article@What is a Model Registry?](https://jfrog.com/learn/mlops/model-registry/)
-- [@video@Introduction to Experiment Tracking](https://www.youtube.com/watch?v=hctZDeB14-s)
+- [@article@ML Flow Model Registry](https://mlflow.org/docs/latest/model-registry.html)

src/data/roadmaps/mlops/content/lime@pVSlVHXIap0unFxLGM-lQ.md

@@ -1,9 +1,9 @@
-# Airflow
+# LIME
 
-Airflow is a platform to programmatically author, schedule, and monitor workflows. Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command-line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
+LIME (Local Interpretable Model-agnostic Explanations) is a technique used to understand the predictions of machine learning models by approximating them locally with a more interpretable model. It focuses on explaining individual predictions by perturbing the input data around a specific instance and observing how the model's prediction changes. This allows one to identify which features are most important for that particular prediction, even if the underlying model is complex and opaque.
 
 Visit the following resources to learn more:
 
-- [@official@Airflow](https://airflow.apache.org/)
-- [@official@Airflow Documentation](https://airflow.apache.org/docs)
-- [@feed@Explore top posts about Apache Airflow](https://app.daily.dev/tags/apache-airflow?ref=roadmapsh)
+- [@official@lime](https://github.com/marcotcr/lime)
+- [@article@Explainable AI - Understanding and Trusting Machine Learning Models](https://www.datacamp.com/tutorial/explainable-ai-understanding-and-trusting-machine-learning-models)
+- [@video@Understanding LIME | Explainable AI](https://www.youtube.com/watch?v=CYl172IwqKs)

src/data/roadmaps/mlops/content/machine-learning-fundamentals@ulka7VEVjz6ls5SnI6a6z.md

@@ -5,7 +5,7 @@ Machine learning fundamentals encompass the key concepts and techniques that ena
 Visit the following resources to learn more:
 
 - [@roadmap@Visit the Dedicated Machine Learning Roadmap](https://roadmap.sh/machine-learning)
-- [@article@Everything I Studied to Become a Machine Learning Engineer (No CS Background)](https://towardsdatascience.com/everything-i-studied-to-become-a-machine-learning-engineer-no-cs-background/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration)
 - [@course@Fundamentals of Machine Learning - Microsoft](https://learn.microsoft.com/en-us/training/modules/fundamentals-machine-learning/)
 - [@course@MLCourse.ai](https://mlcourse.ai/)
-- [@course@Fast.ai](https://course.fast.ai)
+- [@course@Fast.ai](https://course.fast.ai)
+- [@article@Everything I Studied to Become a Machine Learning Engineer (No CS Background)](https://towardsdatascience.com/everything-i-studied-to-become-a-machine-learning-engineer-no-cs-background/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration)