MLOps Zoomcamp Week 2: Experiment Tracking
Summary blog about experiment tracking and mlflow
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MLOps Zoomcamp 2023 Week 1: Intro
Blog about the week 1 homework
Datadog vs Grafana: A Comprehensive Comparison for Effective Monitoring
Understanding the Differences and Similarities Between Datadog and Grafana for Optimal Monitoring
Machine Learning Monitoring: A Cross-Disciplinary Endeavor
Monitoring is a cross-disciplinary endeavor, meaning that different professionals may have different interpretations of what it entails. For data scientists, it may mean one thing, while for DevOps and business professionals, it may mean another. Tha...
Why it is important to monitor your machine learning systems
In today's business world, ML algorithms are becoming increasingly integral to crucial decision-making processes. However, it's important to recognize that like any software, these algorithms are not without their flaws. ML models are subject to bugs...
A Comprehensive YAML Tutorial for Data Scientists
YAML is a data serialization language used to create key-value pair configuration files.
AzureML Pipeline Checklist v0.1
As part of a project, I created a couple of Azure ML pipelines. There were a lot of learnings. I want this cheat sheet to serve as a good reference point. This checklist by any means is not complete and may differ from other projects' implementations...
Understanding DevOps from the lens of a Data Scientist
An introduction to DevOps for Data Scientist and MLEs
Azure Service Principal 101: Understanding the Basics for Data Scientists
Service Principal in Azure A Service Principal (SP) is an identity that is used by applications, services and APIs to access resources in Azure. Its primary use is to authenticate and authorize applications or services access to Azure Resources. SP i...