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Eugene Zhulenev

Personal blog · eugenezhulenev.com/blog · on HN as realitydataai

Eugene Zhulenev's personal blog at eugenezhulenev.com covers data and ai. Since 2014, 4 different Hacker News readers have linked it 10 times, most often “Type-Level Instant Insanity in Scala”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
10mentions?
4HN people?
2014–2018first – last linked?
Links on Hacker News per year · peak 6 in 2015

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

Posts on Scala, covering implicits, type-level programming, and machine learning feature engineering with Scala and Spark. Commenters link them as follow-up reading or to fix a broken link.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

This post is a Scala version of Haskell Type-Level Instant Insanity by Conrad Parker This post shows an implementation of Instant Insanity puzzle …

The author on HN?

reality · 98 karma · member since 2014

Eugene Zhulenev. Engineering Big Data. http://eugenezhulenev.com

From their public HN profile, which links to this site.

Most-linked posts?

  1. Type-Level Instant Insanity in Scala
    2 people · 2 mentions · first linked 2017-04-26

What Hacker News says?

  1. For when you've completed that here's an application (with an amusing name): http://eugenezhulenev.com/blog/2017/04/26/type-level-instant...

    Comment linking /blog/2017/04/26/type-level-instant-insanity-in-scala/

    on “Scala: Understanding implicits”
  2. Submitted Stock Price Prediction with Big Data and Machine Learning as a story · 97 points

    HN discussion
  3. Link is broken. Here's the actual link: http://eugenezhulenev.com/blog/2015/06/15/feature-engineerin...

    Comment linking /blog/2015/06/15/feature-engineering-at-scale/

    on “Machine Learning with Scala and Spark: Feature Engineering”
  4. Submitted Interactive Audience Analytics With Spark and HyperLogLog as a story · 19 points

    HN discussion
  5. Submitted Large Scale Deep Learning with TensorFlow on EC2 Spot Instances as a story · 8 points

    HN discussion
  6. Submitted Machine Learning with Scala and Spark: Feature Engineering as a story · 6 points

    HN discussion
  7. Submitted Machine Learning with Spark ML Pipelines: Audience Modeling in AdTech as a story · 3 points

    HN discussion
  8. Submitted Harnessing Spark ML for SMALL Data Analytics as a story · 2 points

    HN discussion
  9. Submitted Type-Level Instant Insanity in Scala as a story · 1 points

    HN discussion
  10. Submitted Spark in Production: Lessons from Running Large Scale Machine Learning as a story · 1 points

    HN discussion

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