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seanalexander

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Karma
69
Created
January 12, 2018 (8y ago)
Submissions
0
  1. Show HN: Gpt4 runs on windows hyper-v and Kubernetes (github.com)
    1 points 0
  2. Show HN: Solving the Monty Hall Problem in R (github.com)
    6 points 0
  3. Full Implementation of DES in Python (github.com)
    1 points 0
  4. Ask HN: Front-end solutions for data/ML annotation?

    I have a problem with annotating data -- the project managers I work with tend to want us to use a spreadsheet to mark a column with yes/no/maybe (or another set of answers). Are there faster ways to do this? What are…

    1 points 0
  5. My NASA JPL Reading List (seanmcwillie.com)
    2 points 0
  6. Ask HN: How do you annotate data?

    I am trying to rapidly annotate a large data set that I have in CSV format. It is a binary yes/no type of task. But there are about 80 thousand entries that need annotation by humans. This is fairly common for ML tasks…

    1 points 0
  7. Show HN: I Made a Machine Learning Algorithm Repository (seanmcwillie.com)
    3 points 0
  8. Cataloging Machine Learning Algorithms using the ZOMA Zoo Ontology (seanmcwillie.com)
    2 points 0
  9. Neural Networks on Paper: NN to Detect a Bullshit Startup Idea (seanmcwillie.com)
    1 points 0
  10. We're students combining AI and Adblockers (and want you to take a quick survey) (umdsurvey.umd.edu)
    2 points 1
  11. Online Intro to CS Programs: Why NYU isn't any better than community college (seanmcwillie.com)
    1 points 1
  12. Perfumers release Neural Net derived line of scents (blackphoenixalchemylab.com)
    1 points 0
  13. Guardia-NN: Let's Replace SJWs with Machines (seanmcwillie.com)
    3 points 0
  14. Machine Learning Data Set Preparation (seanmcwillie.com)
    33 points 2
  15. Can Penguins Fly? (Machine Learning Data Set Preparation, Part 3) (seanmcwillie.com)
    2 points 0
  16. Tutorial: Machine Learning Data Set Preparation, Part 2 (seanmcwillie.com)
    3 points 0
  17. Tutorial: Machine Learning Data Set Preparation, Part 1 (seanmcwillie.com)
    3 points 0
  18. Summary: Machine Learning on the Rosanne-ABC Firing Incident Dataset (seanmcwillie.com)
    2 points 0
  19. OP-ED: Is machine learning the cyber equivalent of the F-22? (thenewsrep.com)
    1 points 0