My_notes_week1.md

• Week1
  • MLOps intro by Google
  • Mocking / running your AWS stack locally
  • The data set used in the duration prediction notebook
  • Convert files from parquet to csv
  • MLOps Maturity level by Microsoft
  • How to use my GPU in Jupyter notebook and Docker
  • How to add an Anaconda env as Jupyter kernel
  • Other courses

Week1

MLOps intro by Google

https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning#mlops_level_2_cicd_pipeline_automation

Mocking / running your AWS stack locally

https://localstack.cloud/

The data set used in the duration prediction notebook

https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page

Convert files from parquet to csv

https://www.youtube.com/watch?v=r94QjpX9vSE&list=PL3MmuxUbc_hIUISrluw_A7wDSmfOhErJK

MLOps Maturity level by Microsoft

https://docs.microsoft.com/en-us/azure/architecture/example-scenario/mlops/mlops-maturity-model

How to use my GPU in Jupyter notebook and Docker

https://cschranz.medium.com/set-up-your-own-gpu-based-jupyterlab-e0d45fcacf43

How to add an Anaconda env as Jupyter kernel

conda activate base
conda install -c anaconda ipykernel
python -m ipykernel install --user --name base-anaconda --display-name "(base) Anacoda Py 3.9.12"
jupyter kernelspec list
jupyter notebook

https://gdcoder.com/how-to-create-and-add-a-conda-environment-as-jupyter-kernel/

Other courses

https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops