Plumbers of Data Science
A podcast by Andreas Kretz
Categories:
118 Episodes
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DS Office Hours Nr. 3
Published: 2/9/2018 -
NoSQL Vs SQL How To Choose
Published: 2/9/2018 -
Creating A Gaming-AI-Bot
Published: 2/5/2018 -
Loosing $$ With Data Science
Published: 1/31/2018 -
Swish Swedens Awesome Fintech
Published: 1/22/2018 -
Data Science Office Hours
Published: 1/18/2018 -
Gartner's Hype Cycle Explained
Published: 1/15/2018 -
How to Show That ML and AI Works
Published: 1/12/2018 -
Analytics on Edge Devices
Published: 1/11/2018 -
BigData and Catastrophic Success
Published: 1/8/2018 -
Machine Learning In Production
Published: 1/6/2018 -
Data Science VS Big Data
Published: 1/3/2018 -
Agriculture snd DS DailyKayy 004
Published: 1/3/2018 -
DS Preventing Insurance Fraud
Published: 12/15/2017 -
How Data Transforms Healthcare
Published: 12/12/2017 -
Learn Data Science Go Docker!
Published: 12/7/2017 -
Measure Everything!
Published: 12/6/2017 -
Prime Video, Tesla and Comma.ai
Published: 11/29/2017
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