AzureFunBytes Episode 34 – Intro to @Azure Machine Learning
AzureFunBytes is a weekly opportunity to learn more about the fundamentals and foundations that make up Azure. It’s a chance for me to understand more about what people across the Azure organization do and how they do it.
As a person who’s been in the Ops world for most of his career machine learning and predictive services are still very new to me. An entire world of data analysis is capable of providing greater insight into what customers want, live chat bots, and make decisions. Is machine learning just one big search on a database? What are models? How do I integrate AI services into applications I am currently building? These questions have been top of mind for me when thinking about Artificial Intelligence and Machine Learning.
To help me get a better understanding of these services and how they work, I’ve enlisted Cloud Advocate Henk Boelman to come on the show. Henk and I have been in places across the world helping people understand Azure, but I certainly know that there are things I need a ton more help to understand. This week Henk will take some of the mystery out of using ML and AI.
We’ll touch on some subjects such ML platform security, MLOps (DevOps for Machine Learning), what programming languages you can use, and even how to integrate Azure Kubernetes Service.
Useful Docs:
Get $200 in free Azure Credit – https://cda.ms/219
Azure Machine Learning – https://cda.ms/21b
What is machine learning? – https://cda.ms/21c
Tutorial: Create a classification model with automated ML in Azure Machine Learning – https://cda.ms/21d
Example pipelines & datasets for Azure Machine Learning designer – https://cda.ms/21f
Microsoft Learn: Create machine learning models – https://cda.ms/21g
Microsoft Learn: Explore and analyze data with Python – https://cda.ms/21t
Deploy a model to an Azure Kubernetes Service cluster – https://cda.ms/21j
Machine learning operations (MLOps) – https://cda.ms/21m
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