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Experiments in data science
Personal blog · blog.richardweiss.orgdataaiprogramming
Experiments in data science is a personal blog at blog.richardweiss.org about data, ai and programming. Since 2016, 4 different Hacker News readers have linked it 8 times. The last post was in 2020, but the archive is still widely read.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
Linked as a worked example of using Luigi pipelines for feature extraction and modelling, specifically a Kaggle project, in a thread about Uber's Michelangelo ML platform.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
A blog about my experiments in programming & machine learning.
What Hacker News says?
- nl · 2017-09-06
They do model/feature storage and versioning just fine. Or at least Luigi does - I use it daily. And feature extraction and modelling is my main usecase. It works really well, across Spark, Scikit and R, saving data in HDFS. Some examples: https://blog.dominodatalab.com/luigi-pipelines-domino/ http://blog.richardweiss.org/2016/10/13/kaggle-with-luigi.ht... https://github.com/Atreya22/luigi_rosmann_sales
Comment linking /2016/10/13/kaggle-with-luigi.html
on “Michelangelo: Uber’s Machine Learning Platform” Submitted Cargo cult data science as a story · 144 points
HN discussionSubmitted Experiment: simple conditioning of WGANs as a story · 2 points
HN discussionSubmitted Embedding wikipedia with gensim as a story · 2 points
HN discussionSubmitted Recommending Movies with Deep Learning as a story · 2 points
HN discussionSubmitted Using optaplanner to plan water supplies for burning man as a story · 1 points
HN discussionSubmitted Finding related subreddits with relevancy scoring (Demo and Code) as a story · 1 points
HN discussionSubmitted Adversarial infill – generating flowers with deep learning as a story · 1 points
HN discussion