Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Myths of Data Science

749 views

Published on

Myths of Data Science
Predictive Analytics and Data Science Conference May 27-28
Jarun Ngamvirojcharoen

Published in: Data & Analytics
  • Be the first to comment

Myths of Data Science

  1. 1. Myths of Data Science Jarun Ngamvirojcharoen
  2. 2. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant A Story of Blind Men and Elephant
  3. 3. Myth # 1 You need skills in Computer Science, Math/Statistics, Domain Expertise (aka Data Science Venn Diagram) to be a good Data Scientist - Unicorn
  4. 4. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant Team Diversity and Collaborative Process as a Learning System
  5. 5. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant Many Thinking Hats
  6. 6. Myth # 2 Data Scientist builds machine learning models to produce a compelling result
  7. 7. Deep Net Interpretation ?
  8. 8. Myth # 3 We need big data because it gives us power
  9. 9. Big Data Small Value
  10. 10. Data Strategy/ Governance Ethics Organization Culture Infrastructure Deployment Organization Process Something Beyond Data Science

×