Empfohlen
Weitere Àhnliche Inhalte
Was ist angesagt?
Was ist angesagt? (6)
Andere mochten auch
Andere mochten auch (20)
Ăhnlich wie The Art of Data Science
Ăhnlich wie The Art of Data Science (20)
Mehr von odsc
Mehr von odsc (20)
KĂŒrzlich hochgeladen
KĂŒrzlich hochgeladen (20)
The Art of Data Science
- 1. THE ART OF DATA SCIENCE Josh Wills O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendatasci
- 2. 2© Cloudera, Inc. All rights reserved. Or, A Less Pretentious Title Josh Wills | Senior Director of Data Science The Art of Data Science
- 3. 3© Cloudera, Inc. All rights reserved. The Data Science State of the Union
- 4. 4© Cloudera, Inc. All rights reserved. Data Scientists At Work
- 5. 5© Cloudera, Inc. All rights reserved. Data Scientists at Home
- 6. 6© Cloudera, Inc. All rights reserved. Data ScientistsâŠEverywhere?
- 7. 7© Cloudera, Inc. All rights reserved. Creating Some Definition
- 8. 8© Cloudera, Inc. All rights reserved. The Mismeasure of Data Scientists
- 9. 9© Cloudera, Inc. All rights reserved. The Tremendous Promise of Big Data
- 10. 10© Cloudera, Inc. All rights reserved. The Unfortunate Reality of Big Data
- 11. 11© Cloudera, Inc. All rights reserved. Like Urban Planning, but for Data
- 12. 12© Cloudera, Inc. All rights reserved. Data Modeling for Data Science
- 13. 13© Cloudera, Inc. All rights reserved. Event Series Analytics
- 14. 14© Cloudera, Inc. All rights reserved. A Simple Star Schema for Spell Correction
- 15. 15© Cloudera, Inc. All rights reserved. A Supernova Schema for Search
- 16. 16© Cloudera, Inc. All rights reserved. Spell Correction in SQL
- 17. 17© Cloudera, Inc. All rights reserved. The Operational/Analytical Impedance Mismatch
- 18. 18© Cloudera, Inc. All rights reserved. Exhibit: http://github.com/jwills/exhibit
- 19. 19© Cloudera, Inc. All rights reserved. Pushing Beyond The Limits of Our Tools
- 20. 20© Cloudera, Inc. All rights reserved. Thanks! jwills@cloudera.com
Hinweis der Redaktion
- Data cleansing, preparation, feature engineering. The dirty work we do all day at the insight factory.
- Does everyone have to be a data scientist? Are there tools that can make anyone into a data scientist?
- http://www.quora.com/What-is-the-difference-between-a-data-scientist-and-a-statistician
- Data scientists can do two things better than data analysts: ask great questions and answer them faster than other people would think possible.
- Everyone gets a Ferrari!
- Oh no! Everyone has a Ferrari! Induced demand: as you increase the supply of something, the demand for it increases as well.
- We need the equivalent of public transit infrastructure for analytic queries: low marginal cost for asking one more question, goes the places most people need to go, removes load from the roadways.
- The spell correction example as a model for what the public transit infrastructure should look like.
- Can we create a data model that makes this kind of powerful analysis available to people who only know SQL?
- Even better, can a common data model enable us to seamlessly move models from the offline, analytical world to the online, operational world? Because the supernova data model is essentially the HBase/Cassandra/Mongo/etc. data model.
- http://github.com/jwills/exhibit
- No tool can make you a data scientist, because itâs the ability to push beyond the limits of your tools that makes you a data scientist.