Internet Industry Search Engine

Reasoning About Uncertainty at Scale

Source: infoq.com

Jan 20, 2019 9:47 PM 1+ mon ago

Max Livingston presents a case study of using Bayesian modelling and inference to directly model behavior of aircraft arrivals and departures, focusing on the uncertainty in those predictions.Read more.

Search Builder

(Click to add to search box)
Search Suggestions Level 1
aircraft arrivals  Data Engineering Reasoning  model flight disruptions  Linux kernel API  New York Fed  Bayesian modelling  model behavior  case study  data scientist  Scale Reasoning  ML practitioners  conference PAPIs  fellow attendees  Research group  Wesleyan University  Bayesian machine  data science  API coverage  QCon AI  implementation language  ML companies  
Search Suggestions Level 2
Scale Presentation  Success Stories Presentation  Implementing AutoML Techniques  Salesforce Scale Presentation  Technical Debt  Digital Publishing  Blockchains Work  Nokia Presentation  BMW Presentation  Neutral Survey  
Search Suggestions Level 3
Linux kernel API  Data Engineering Reasoning  industry email notices  New York Fed  model flight disruptions  conference Pivotal Training  Blockchains Work  API coverage  implementation language  data scientist  privacy notice  Product Management  Business Owners  Pivotal technologies  Related Topics  InfoQ account  InfoQ experience  BMW LeSS  Nokia LeSS  conference PAPIs  QCon AI  case study  Bayesian modelling  model behavior  aircraft arrivals  Bayesian machine  Wesleyan University  Digital Publishing  data science  Research group  ML practitioners  fellow attendees  ML companies  

**Content contained on this site is provided on an “as is” basis. 4Internet, LLC makes no commitments regarding the content and does not review it, so don't assume that it's been reviewed. What you see here may not be accurate and should not be relied upon. The content does not necessarily represent the views and opinions of 4Internet, LLC. You use this service and everything you see here at your own risk. Content displayed may be subject to copyright. Content is removed on a case by case basis. To request that content be removed, contact us using the following form: Contact Us.