Reaching MLE (machine learning enlightenment) - Deepstash
Reaching MLE (machine learning enlightenment)

Reaching MLE (machine learning enlightenment)

Curated from: veekaybee.github.io

Ideas, facts & insights covering these topics:

1 idea

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58 reads

1

  • Working with serialization formats
  • Evaluating modeling requirements and selecting the right model for the business case
  • Using jq and getting what you need from JSON fields
  • Handling cron and bash scripting and getting ETL jobs to run
  • Tuning and optimizing SQL
  • Working on containers and orchestration debugging
  • Shaping, understanding, and describing your data
  • Reasoning about distributed systems
  • Being defensive around data you ingest that impacts your ML pipeline
  • Integration testing across distributed file stores

3

58 reads

IDEAS CURATED BY

decebaldobrica

#engineering, #machinelearning and #crypto

CURATOR'S NOTE

love the story told, quite a classic vibe

Decebal Dobrica's ideas are part of this journey:

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