Plumbers of Data Science
En podkast av Andreas Kretz
122 Episoder
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Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Publisert: 15.3.2018 -
Hadoop For Data Scientists An Introduction
Publisert: 13.3.2018 -
Three Methods of Streaming Data
Publisert: 9.3.2018 -
Dirty Data, Unicorn Scientists
Publisert: 26.2.2018 -
DS Office Hours Nr. 3
Publisert: 9.2.2018 -
NoSQL Vs SQL How To Choose
Publisert: 9.2.2018 -
Creating A Gaming-AI-Bot
Publisert: 5.2.2018 -
Loosing $$ With Data Science
Publisert: 31.1.2018 -
Swish Swedens Awesome Fintech
Publisert: 22.1.2018 -
Data Science Office Hours
Publisert: 18.1.2018 -
Gartner's Hype Cycle Explained
Publisert: 15.1.2018 -
How to Show That ML and AI Works
Publisert: 12.1.2018 -
Analytics on Edge Devices
Publisert: 11.1.2018 -
BigData and Catastrophic Success
Publisert: 8.1.2018 -
Machine Learning In Production
Publisert: 6.1.2018 -
Data Science VS Big Data
Publisert: 3.1.2018 -
Agriculture snd DS DailyKayy 004
Publisert: 3.1.2018 -
DS Preventing Insurance Fraud
Publisert: 15.12.2017 -
How Data Transforms Healthcare
Publisert: 12.12.2017 -
Learn Data Science Go Docker!
Publisert: 7.12.2017
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