Plumbers of Data Science

A podcast by Andreas Kretz

Categories:

118 Episodes

  1. DS Office Hours Nr. 3

    Published: 2/9/2018
  2. NoSQL Vs SQL How To Choose

    Published: 2/9/2018
  3. Creating A Gaming-AI-Bot

    Published: 2/5/2018
  4. Loosing $$ With Data Science

    Published: 1/31/2018
  5. Swish Swedens Awesome Fintech

    Published: 1/22/2018
  6. Data Science Office Hours

    Published: 1/18/2018
  7. Gartner's Hype Cycle Explained

    Published: 1/15/2018
  8. How to Show That ML and AI Works

    Published: 1/12/2018
  9. Analytics on Edge Devices

    Published: 1/11/2018
  10. BigData and Catastrophic Success

    Published: 1/8/2018
  11. Machine Learning In Production

    Published: 1/6/2018
  12. Data Science VS Big Data

    Published: 1/3/2018
  13. Agriculture snd DS DailyKayy 004

    Published: 1/3/2018
  14. DS Preventing Insurance Fraud

    Published: 12/15/2017
  15. How Data Transforms Healthcare

    Published: 12/12/2017
  16. Learn Data Science Go Docker!

    Published: 12/7/2017
  17. Measure Everything!

    Published: 12/6/2017
  18. Prime Video, Tesla and Comma.ai

    Published: 11/29/2017

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Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com