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Adil Moujahid

Personal blog · adilmoujahid.com/posts · on HN as adilmoujahiddataprogrammingai

Adil Moujahid's personal blog at adilmoujahid.com covers data, programming and ai. Since 2014, 7 different Hacker News readers have linked it 25 times, most often “A Practical Introduction to Deep Learning with Caffe and Python”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
25mentions?
7HN people?
2014–2025first – last linked?
Links on Hacker News per year · peak 4 in 2015

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

Adil Moujahid's tutorial blog on machine learning and data analysis, including a Caffe deep learning introduction, Twitter analytics and d3.js charting. Commenters value the Caffe post for explaining data preparation steps.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Adil Moujahid, Bridging Tech and Art

The author on HN?

adilmoujahid · 363 karma · member since 2014

AI developer creating next-gen products to shape the future Personal Website: adilmoujahid.com

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

Most-linked posts?

  1. A Practical Introduction to Deep Learning with Caffe and Python
    3 people · 3 mentions · first linked 2016-06-26
  2. A Practical Introduction to Blockchain with Python
    2 people · 2 mentions · first linked 2018-03-13
  3. In-Depth Analysis of Moonbirds NFTs Using Python and Alchemy
    2 people · 2 mentions · first linked 2022-04-24
  4. Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB
    2 people · 2 mentions · first linked 2015-01-27
  5. An Introduction to Text Mining Using Twitter Streaming API and Python
    2 people · 2 mentions · first linked 2014-08-30

What Hacker News says?

  1. aabajian · 2017-03-20Recommends
    I already have a nomination. The guy who wrote this blog post: http://adilmoujahid.com/posts/2016/06/introduction-deep-lear... It's the only way I could get a working model of Caffe while understanding the data preparation steps. I've already retrofitted it to classify tumors.

    Comment linking /posts/2016/06/introduction-deep-learning-python-caffe/

    on “Distill: a modern machine learning journal”
  2. Submitted A Practical Introduction to Blockchain with Python as a story · 323 points

    HN discussion
  3. If you want to get even more tweets, you could use twitter's streaming API with the keyword "Wordle": http://adilmoujahid.com/posts/2014/07/twitter-analytics/ It should allow capturing a significant fraction of the 250k daily wordle tweets.

    Comment linking /posts/2014/07/twitter-analytics/

    on “Guess the daily Wordle in one try using the tweet distribution”
  4. Submitted Interactive Data Visualization of Geospatial Data as a story · 76 points

    HN discussion
  5. One use case could be a data visualization similar to what I built in [1] To build the visualization in [1], I used 3 datasets in csv format from a kaggle competition [2], and I implemented the charts using dc.js and Leaflet.js. The charts were interactive and I could managed to filter the data even in the map. The largest dataset was 284 MB, which was still ok and didn't crash my browser. There were 2 drawbacks to…

    Comment linking /posts/2016/08/interactive-data-visualization-geospatial-d3-dc-leaflet-python/

    on “Show HN: Tableau-Like Data Visualizations in JavaScript”
  6. Submitted A Practical Introduction to IoT Using Arduino, Node.js and Plotly as a story · 55 points

    HN discussion
  7. Is there a plan to create a version that generate the graphs and manage all the filtering on the server side instead of having all the data in the browser? This will be very helpful for cases that uses large datasets... I built visualization using dc.js, and working with large datasets was the biggest pain point for me. http://adilmoujahid.com/posts/2016/08/interactive-data-visua...

    Comment linking /posts/2016/08/interactive-data-visualization-geospatial-d3-dc-leaflet-python/

    on “Show HN: Tableau-Like Data Visualizations in JavaScript”
  8. Submitted A Practical Introduction to Deep Learning with Caffe and Python as a story · 6 points

    HN discussion
  9. you could clearly build a small web app and use d3js. The cool thing here is you can get your data back in json format from mongo and d3js (or many other charting libraries) just work fine with json. If you are a python person, this article might help http://adilmoujahid.com/posts/2015/01/interactive-data-visua...

    Comment linking /posts/2015/01/interactive-data-visualization-d3-dc-python-mongodb/

    on “Ask HN: Do you use MongoDB for analytics?”
  10. Submitted A Practical Introduction to Deep Learning with Caffe and Python as a story · 4 points

    HN discussion
  11. Submitted Analyzing the Impact of Coronavirus on the Stock Market Using Python as a story · 3 points

    HN discussion
  12. Submitted Show HN: A P5.js Editor Controlled by Claude Desktop via MCP Server as a story · 2 points

    HN discussion
  13. Submitted Fusion Bricks: An Exploration of Generative Art, Pixel Art, and Lego Building as a story · 2 points

    HN discussion
  14. Submitted In-Depth Analysis of Moonbirds NFTs Using Python and Alchemy as a story · 2 points

    HN discussion
  15. Submitted A Practical Introduction to NFTs Using Solidity and Legos as a story · 2 points

    HN discussion
  16. Submitted Analyzing Messi and Ronaldo's Games Using Python and Streamlit as a story · 2 points

    HN discussion
  17. Submitted An Implementation of Schelling Segregation Model Using Python and Streamlit as a story · 2 points

    HN discussion
  18. Submitted A Practical Introduction to Blockchain with Python as a story · 2 points

    HN discussion
  19. Submitted Hacking Education with Python – Data Mining Coursera for Popular Courses as a story · 2 points

    HN discussion
  20. Submitted An Introduction to Text Mining Using Twitter Streaming API and Python as a story · 2 points

    HN discussion
  21. Submitted How I Built and Launched a Japanese Kanji Learning App Using Vibe Coding as a story · 1 points

    HN discussion
  22. Submitted Building a Japanese Kanji Flashcard App Using GPT-4, Python and LangChain as a story · 1 points

    HN discussion
  23. Submitted In-Depth Analysis of Moonbirds NFTs Using Python and Alchemy as a story · 1 points

    HN discussion
  24. Submitted Data Mining Meebits NFTs Using Python and OpenSea API as a story · 1 points

    HN discussion
  25. Submitted Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB as a story · 1 points

    HN discussion

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