chore: sync content to repository - mlops (#9559)

* chore: sync content to repo

* Add additional resources for data lineage

* Update machine-learning@6uGYeXZn5fW2qPfSb8GJb.md

* Fix formatting by removing an empty line

Removed an empty line at the beginning of the Machine Learning document.

---------

Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com>
Co-authored-by: Javier Canales <56018501+jcanalesluna@users.noreply.github.com>

src/data/roadmaps/mlops/content/cicd@oUhlUoWQQ1txx_sepD5ev.md

@@ -6,6 +6,6 @@ Visit the following resources to learn more:
 
 - [@official@What is CI/CD?](https://about.gitlab.com/topics/ci-cd/)
 - [@article@A Primer: Continuous Integration and Continuous Delivery (CI/CD)](https://thenewstack.io/a-primer-continuous-integration-and-continuous-delivery-ci-cd/)
-- [@feed@Articles about CI/CD](https://app.daily.dev/tags/version-control?ref=roadmapsh)
 - [@article@DevOps CI/CD Explained in 100 Seconds](https://thenewstack.io/category/ci-cd/)
-- [@video@Automate your Workflows with GitHub Actions](https://www.youtube.com/watch?v=scEDHsr3APg)
+- [@video@Automate your Workflows with GitHub Actions](https://www.youtube.com/watch?v=scEDHsr3APg)
+- [@feed@Articles about CI/CD](https://app.daily.dev/tags/version-control?ref=roadmapsh)

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

@@ -7,4 +7,5 @@ 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@The Ultimate Guide To Data Lineage](https://www.montecarlodata.com/blog-data-lineage/)
-- [@video@What is Data Lineage?](https://www.youtube.com/watch?v=Jar5Rr_7TOU)
+- [@video@What is Data Lineage?](https://www.youtube.com/watch?v=Jar5Rr_7TOU)
+- [@article@What is a Feature Store](https://www.snowflake.com/guides/what-feature-store-machine-learning/)

src/data/roadmaps/mlops/content/edge-ai@w8z91Hlqm0sPligYD3VCk.md

@@ -4,8 +4,8 @@ Edge AI refers to running machine learning models directly on devices, like smar
 
 Visit the following resources to learn more:
 
+- [@course@What Is Edge Computing?](https://www.udemy.com/course/edge-computing/)
 - [@article@What Is Edge AI and How Does It Work?](https://blogs.nvidia.com/blog/what-is-edge-ai/)
 - [@article@What is Edge AI?](https://www.ibm.com/think/topics/edge-ai)
 - [@article@What is Edge Computing - Cloudflare Docs](https://www.cloudflare.com/learning/serverless/glossary/what-is-edge-computing/)
-- [@article@What is Edge Computing? Is It More Than a Buzzword?](https://www.howtogeek.com/devops/what-is-edge-computing-is-it-more-than-a-buzzword/)
-- [@course@What Is Edge Computing?](https://www.udemy.com/course/edge-computing/)
+- [@article@What is Edge Computing? Is It More Than a Buzzword?](https://www.howtogeek.com/devops/what-is-edge-computing-is-it-more-than-a-buzzword/)

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

@@ -1,9 +1,10 @@
 # LIME
 
-LIME (Local Interpretable Model-agnostic Explanations) is a technique used to understand the predictions of machine learning models. It works by approximating the model locally with a simpler, interpretable model, such as a linear model. This simpler model is trained on perturbations of the data point being explained, allowing users to understand which features are most important for that specific prediction.
+LIME (Local Interpretable Model-agnostic Explanations) is a technique used to understand the predictions of machine learning models. It works by approximating the complex model with a simpler, interpretable model (like a linear model) in the vicinity of a specific prediction. This local approximation helps to understand which features are most important for that particular prediction, providing insights into why the model made that decision.
 
 Visit the following resources to learn more:
 
 - [@opensource@lime](https://github.com/marcotcr/lime)
+- [@article@LIME Unveiled: A Deep Dive into Explaining AI Models for Text, Images, and Tabular Data](https://medium.com/@shree144/lime-unveiled-a-deep-dive-into-explaining-ai-models-for-text-images-and-tabular-data-046c7c3b4e9f)
 - [@article@Explainable AI - Understanding and Trusting Machine Learning Models](https://www.datacamp.com/tutorial/explainable-ai-understanding-and-trusting-machine-learning-models)
-- [@video@Explainable AI explained! | #3 LIME](https://www.youtube.com/watch?v=d6j6bofhj2M)
+- [@video@Understanding LIME | Explainable AI](https://www.youtube.com/watch?v=CYl172IwqKs)

src/data/roadmaps/mlops/content/machine-learning@6uGYeXZn5fW2qPfSb8GJb.md

@@ -1,4 +1,6 @@
+# Machine Learning
 
+Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. The name machine learning was coined in 1959 by Arthur Samuel. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders, and computer vision.
 
 Visit the following resources to learn more:
 
@@ -6,4 +8,4 @@ Visit the following resources to learn more:
 - [@book@Machine Learning: The Basics](https://alexjungaalto.github.io/MLBasicsBook.pdf)
 - [@article@What is Machine Learning (ML)?](https://www.ibm.com/topics/machine-learning)
 - [@video@What is Machine Learning?](https://www.youtube.com/watch?v=9gGnTQTYNaE)
-- [@video@Complete Machine Learning in One Video | Machine Learning Tutorial For Beginners 2025 | Simplilearn](https://www.youtube.com/watch?v=PtYRUoJRE9s)
+- [@video@Complete Machine Learning in One Video | Machine Learning Tutorial For Beginners 2025 | Simplilearn](https://www.youtube.com/watch?v=PtYRUoJRE9s)

src/data/roadmaps/mlops/content/maths--statistics@C4KbkZ7c8TspXa3RBOCug.md

@@ -4,10 +4,10 @@ Mathematics and statistics provide the foundational principles for understanding
 
 Visit the following resources to learn more:
 
+- [@book@Introductory Statistics](https://assets.openstax.org/oscms-prodcms/media/documents/IntroductoryStatistics-OP_i6tAI7e.pdf)
 - [@article@Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs70-spring2015-berkeley.html)
 - [@article@Discrete Mathematics By IIT Ropar NPTEL](https://nptel.ac.in/courses/106/106/106106183/)
 - [@article@Introduction to Statistics](https://imp.i384100.net/3eRv4v)
-- [@book@Introductory Statistics](https://assets.openstax.org/oscms-prodcms/media/documents/IntroductoryStatistics-OP_i6tAI7e.pdf)
 - [@video@Lec 1 | MIT 6.042J Mathematics for Computer Science, Fall 2010](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B)
 - [@video@Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PLWX710qNZo_sNlSWRMVIh6kfTjolNaZ8t)
 - [@video@tatistics - A Full University Course on Data Science Basics](https://www.youtube.com/watch?v=xxpc-HPKN28)

src/data/roadmaps/mlops/content/sql@51x_5z0pHTE_yZoyvFUBy.md

@@ -4,8 +4,8 @@ SQL, or Structured Query Language, is a standard language for managing and manip
 
 Visit the following resources to learn more:
 
-- [@official@Visit the Dedicated SQL Roadmap](https://roadmap.sh/sql)
 - [@course@Premium SQL Course - Roadmap](https://roadmap.sh/courses/sql)
+- [@official@Visit the Dedicated SQL Roadmap](https://roadmap.sh/sql)
 - [@article@SQL Tutorial](https://www.w3schools.com/sql/)
 - [@article@How I Learned SQL In 2 Weeks (From Scratch)](https://towardsdatascience.com/how-i-learned-sql-in-2-weeks-from-scratch-b78040f4e2c1/)
 - [@video@Full SQL Crash Course - Learn SQL in 90 Minutes](https://www.youtube.com/watch?v=7cIG41gjHB4)

src/data/roadmaps/mlops/content/tensorflow@so5IQDxKibaZlgoCh8tpQ.md

@@ -1,4 +1,6 @@
+# TensorFlow
 
+TensorFlow is an open-source software library created by Google for numerical computation and large-scale machine learning. It provides a comprehensive ecosystem of tools, libraries, and community resources that allows researchers and developers to build and deploy ML-powered applications. TensorFlow is particularly well-suited for deep learning tasks, enabling the creation of complex neural networks for image recognition, natural language processing, and more.
 
 Visit the following resources to learn more:
 

src/data/roadmaps/mlops/content/what-is-mlops@IghGpwAFVB067uOosmoDC.md

@@ -4,11 +4,11 @@ MLOps, short for Machine Learning Operations, is a set of practices that aims to
 
 Visit the following resources to learn more:
 
+- [@book@MLOps Engineering at Scale - Carl Osipov](http://103.203.175.90:81/fdScript/RootOfEBooks/E%20Book%20collection%20-%202025%20-%20C/CSE%20%20IT%20AIDS%20ML/MLOps%20Engineering%20at%20Scale%20-%20Carl%20Osipov%20(Manning,%202022).pdf)
 - [@article@What is MLOps?](https://aws.amazon.com/what-is/mlops/)
 - [@article@MLOps Explained: A Deep Dive into Machine Learning Operations](https://hermanmotcheyo.medium.com/mlops-explained-a-deep-dive-into-machine-learning-operations-ab9342c5c90d)
 - [@article@MLOps vs DevOps: Differences, Overlaps, and Use Cases](https://www.datacamp.com/blog/mlops-vs-devops)
 - [@article@Machine Learning Operations (MLOps) For Beginners](https://towardsdatascience.com/machine-learning-operations-mlops-for-beginners-a5686bfe02b2/)
 - [@article@MLOps: What It Is, Why It Matters, and How to Implement It](https://neptune.ai/blog/mlops)
-- [@book@MLOps Engineering at Scale - Carl Osipov](http://103.203.175.90:81/fdScript/RootOfEBooks/E%20Book%20collection%20-%202025%20-%20C/CSE%20%20IT%20AIDS%20ML/MLOps%20Engineering%20at%20Scale%20-%20Carl%20Osipov%20(Manning,%202022).pdf)
 - [@video@What is MLOps?](https://www.youtube.com/watch?v=OejCJL2EC3k)
 - [@video@MLOps Explained - What It Is, Why You Need It and How It Works](https://www.youtube.com/watch?v=biqYkVf-a7Y)