Plumbers of Data Science
Un podcast de Andreas Kretz
122 Épisodes
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Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Publié: 15/03/2018 -
Hadoop For Data Scientists An Introduction
Publié: 13/03/2018 -
Three Methods of Streaming Data
Publié: 09/03/2018 -
Dirty Data, Unicorn Scientists
Publié: 26/02/2018 -
DS Office Hours Nr. 3
Publié: 09/02/2018 -
NoSQL Vs SQL How To Choose
Publié: 09/02/2018 -
Creating A Gaming-AI-Bot
Publié: 05/02/2018 -
Loosing $$ With Data Science
Publié: 31/01/2018 -
Swish Swedens Awesome Fintech
Publié: 22/01/2018 -
Data Science Office Hours
Publié: 18/01/2018 -
Gartner's Hype Cycle Explained
Publié: 15/01/2018 -
How to Show That ML and AI Works
Publié: 12/01/2018 -
Analytics on Edge Devices
Publié: 11/01/2018 -
BigData and Catastrophic Success
Publié: 08/01/2018 -
Machine Learning In Production
Publié: 06/01/2018 -
Data Science VS Big Data
Publié: 03/01/2018 -
Agriculture snd DS DailyKayy 004
Publié: 03/01/2018 -
DS Preventing Insurance Fraud
Publié: 15/12/2017 -
How Data Transforms Healthcare
Publié: 12/12/2017 -
Learn Data Science Go Docker!
Publié: 07/12/2017
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