Plumbers of Data Science
Un pódcast de Andreas Kretz
122 Episodo
-  Don't Be Arrogant The Cloud is Safer Then Your On-PremisePublicado: 15/3/2018
-  Hadoop For Data Scientists An IntroductionPublicado: 13/3/2018
-  Three Methods of Streaming DataPublicado: 9/3/2018
-  Dirty Data, Unicorn ScientistsPublicado: 26/2/2018
-  DS Office Hours Nr. 3Publicado: 9/2/2018
-  NoSQL Vs SQL How To ChoosePublicado: 9/2/2018
-  Creating A Gaming-AI-BotPublicado: 5/2/2018
-  Loosing $$ With Data SciencePublicado: 31/1/2018
-  Swish Swedens Awesome FintechPublicado: 22/1/2018
-  Data Science Office HoursPublicado: 18/1/2018
-  Gartner's Hype Cycle ExplainedPublicado: 15/1/2018
-  How to Show That ML and AI WorksPublicado: 12/1/2018
-  Analytics on Edge DevicesPublicado: 11/1/2018
-  BigData and Catastrophic SuccessPublicado: 8/1/2018
-  Machine Learning In ProductionPublicado: 6/1/2018
-  Data Science VS Big DataPublicado: 3/1/2018
-  Agriculture snd DS DailyKayy 004Publicado: 3/1/2018
-  DS Preventing Insurance FraudPublicado: 15/12/2017
-  How Data Transforms HealthcarePublicado: 12/12/2017
-  Learn Data Science Go Docker!Publicado: 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
