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