Tools and Technologies
Outside of Programming, Probability, Statistics, Data Modeling, Evaluation, and the following are the set of the pre-requisite :
- Participants are responsible to bring a Workstation/Laptop with SDK/Tools Installed.
- Languages: - Python or R
- Tools: Visual Studio Code/Juypter Notebook/R Studio
Azure Fundamentals (Cloud Computing, Azure Portal, Services, Marketplace)
Learning Path - https://docs.microsoft.com/en-us/learn/paths/researcher-introduction-to-cloud-computing/
Azure Tool Specific fundamentals (Azure Machine Learning Services, Cognitive Services - Language, Vision & Others)
Learning Paths –
https://docs.microsoft.com/en-us/learn/paths/create-machine-learn-models/
https://docs.microsoft.com/en-us/learn/paths/build-ai-solutions-with-azure-ml-service/
Azure Maps
https://samples.azuremaps.com/
Citizen Data Scientist –
Use automated machine learning in Azure Machine Learning - Learn | Microsoft Docs: https://docs.microsoft.com/en-us/learn/modules/use-automated-machine-learning/
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning - Learn | Microsoft Docs: https://docs.microsoft.com/en-us/learn/paths/create-no-code-predictive-models-azure-machine-learning/
Additional Resource links
What are hackathons, and why should students join them?
Top Five Ways To Expand And Improve Your Career With Hackathons
A Few Key Things To Expect From A Hackathon Event
3 Reasons You Should Participate In Hackathon Events