A presentation on using aws lambda for data science tasks.
- understand aws ecosystem from a base 'cloud concepts' POV
- some python experience
- data science concepts: linear regression, time series analysis, anomaly detection
- productionising python data science
- micro-service for data science
- local code -> cloud deployment workflow
- to generate the slides, use
revelation
I wrote and compiled all the material and the experience that drove it, however I have also been able to use a vast wealth of other peoples resources they have shared on the topic. These are clearly linked and I encourage you to go and dive deeper into those resources. Without those resources I would not have been able to implement any of the material described here.