DRR 19 | Data scientist and machine learning (for beginners)

DRR – Ep.18 | Data scientist and machine learning (for beginners) 

Topic: The misconception of data scientists, big data and machine learning to support disaster management. 

My Voice 120 Collaborator: Lisa Verschuren

References:

https://www.economist.com/

https://blog.edx.org/the-importance-of-data-science-in-the-21st-century

https://www.coursera.org/specializations/jhu-data-science

https://www.youtube.com/watch?v=yR2wWQYiVKM&feature=youtu.be

https://www.edureka.co/blog/difference-between-data-scientist-and-data-analyst/

http://bigdata-madesimple.com/what-is-a-data-scientist-14-definitions-of-a-data-scientist/

https://www.simplilearn.com/data-analyst-vs-data-scientist-article

https://www.axa.com/en/spotlight/story/how-data-science-will-help-responding-to-the-next-disaster

http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2018-nature-based-solutions/

https://www.technologyreview.com/s/603785/machine-learning-algorithm-predicts-laboratory-earthquakes/

https://www.coursera.org/lecture/machine-learning/what-is-machine-learning-Ujm7v

https://medium.com/iotforall/the-difference-between-artificial-intelligence-machine-learning-and-deep-learning-3aa67bff5991

https://www.datanami.com/2017/05/22/predicting-hurricane-damage-machine-learning/

Keywords:

#datascience #datascientist #machinelearning #bigdata #technology #innovation #dataanalysts #businessanalysts #programming #mathmodels #statistics #insurance #insurancecompanies #disasters #floods #earthquakes #wildfires #landslides #hurricanes #JohnHopkinsUniversity #coursera #AXA #SwissRE #italy #probability #forecast-basedfinancing #earlyactionapproach #GP2017 #PabloSuarez #Netherlands #nature-basesolutions #WWAP #UN #Sendaiframework #R #Python #urbanresilience