HN Explorer

chasedehan

↗ HN profile [ 84.3 ms ] full profile
Karma
630
Created
August 3, 2017 (9y ago)
Submissions
0
  1. Musk urged to sell 10% of Tesla stake after holding Twitter poll (ft.com)
    1 points 0
  2. Don't Underestimate the Power of a Walk (hbr.org)
    17 points 1
  3. Vista Acquires Pluralsight for $3.5B (techcrunch.com)
    14 points 1
  4. Break Dancing to Debut at Olympics - Paris 2024 (espn.com)
    2 points 0
  5. A leading AI ethics researcher says she’s been fired from Google (technologyreview.com)
    1 points 1
  6. Back to the Future Deep Faked (nerdist.com)
    1 points 0
  7. Alcohol and social bonding in humans (2018) (ft.com)
    117 points 87
  8. Patriot Boot Camp – From Techstars (patriotbootcamp.org)
    1 points 0
  9. What’s Next for R? (qz.com)
    4 points 0
  10. AI for Climate Change (climatechange.ai)
    2 points 0
  11. Tulsa, OK will pay $10k to remote workers who relocate (cbsnews.com)
    5 points 0
  12. Mac Now Supports Windows (youtube.com)
    2 points 0
  13. On DataCamp and sexual misconduct (juliasilge.com)
    89 points 69
  14. Working together when we're not together (blog.google)
    1 points 0
  15. What seven years at Airbnb taught me about building a company (medium.com)
    10 points 0
  16. RPA startup UiPath raising $400MM at $7B valuation (techcrunch.com)
    1 points 0
  17. No, You Can’t Ignore Email. It’s Rude (nytimes.com)
    4 points 0
  18. State of the Cloud – 2019 (bvp.com)
    2 points 0
  19. What we can learn from people who succeed later in life (ideas.ted.com)
    2 points 0
  20. Patagonia is in business to save our home planet (fastcompany.com)
    3 points 0
  21. Microsoft officially closes $7.5B purchase of GitHub (mashable.com)
    2 points 0
  22. Fire the Workaholics (2008) (signalvnoise.com)
    1 points 0
  23. Vegas Workers to Strike Over Automation (theguardian.com)
    14 points 2
  24. Show HN: Dad Jokes Texted Daily (dadjoke.info)
    15 points 4
  25. Ask HN: What are your challenges for using/deploying machine learning?

    I'm working on a project to build and deploy machine learning models for non-experts. What are the hurdles for using machine learning in your organization? Is it 1) that data scientists are expensive 2) don't see a good…

    1 points 0