Plumbers of Data Science
A podcast by Andreas Kretz
122 Episoade
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Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Publicat: 15.03.2018 -
Hadoop For Data Scientists An Introduction
Publicat: 13.03.2018 -
Three Methods of Streaming Data
Publicat: 09.03.2018 -
Dirty Data, Unicorn Scientists
Publicat: 26.02.2018 -
DS Office Hours Nr. 3
Publicat: 09.02.2018 -
NoSQL Vs SQL How To Choose
Publicat: 09.02.2018 -
Creating A Gaming-AI-Bot
Publicat: 05.02.2018 -
Loosing $$ With Data Science
Publicat: 31.01.2018 -
Swish Swedens Awesome Fintech
Publicat: 22.01.2018 -
Data Science Office Hours
Publicat: 18.01.2018 -
Gartner's Hype Cycle Explained
Publicat: 15.01.2018 -
How to Show That ML and AI Works
Publicat: 12.01.2018 -
Analytics on Edge Devices
Publicat: 11.01.2018 -
BigData and Catastrophic Success
Publicat: 08.01.2018 -
Machine Learning In Production
Publicat: 06.01.2018 -
Data Science VS Big Data
Publicat: 03.01.2018 -
Agriculture snd DS DailyKayy 004
Publicat: 03.01.2018 -
DS Preventing Insurance Fraud
Publicat: 15.12.2017 -
How Data Transforms Healthcare
Publicat: 12.12.2017 -
Learn Data Science Go Docker!
Publicat: 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
