Subhrajyoty Roy
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  • Concept Guides
  • Technical Materials
  • Reflections
  • Recommended Resources
Categories
All (4)
Cloud Computing (2)
Consistency (1)
Data Science (2)
Deep Learning (1)
Proof Technique (1)
Software (3)

Notes

This is a place where I share some of my notes. If you find an error, I am the one responsible to take the blame, but I would love if you please submit a pull request and correct the error. You can also get in touch with me here.

Concept Guides

These are the various notes that I use to learn a new topic / material. These reflect my own understanding of various topics, as guided by the various resources I used to learn them.

Practical Data Science

Data Science
Software
Deep Learning
Beyond the usual training of neural networks, there are few major learning variants:
November 24, 2024
25 min
June 6, 2026

AWS Cloud Data Analytics Guide

Software
Cloud Computing
Data Science
There are a few primary definitions:
March 13, 2024
28 min
June 6, 2026

Introduction of AWS Cloud Computing

Software
Cloud Computing
Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing model.
February 19, 2024
42 min
June 6, 2026
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Also take a look at some of my blogs posts as follows:

  • An eight-part tutorial series on Natural Language Processing is available at my substack.

  • A six-part tutorial series on the basics of Generative AI is available at my substack.

  • A seven-part tutorial series on the basics of Reinforcement Learning is available at my substack.

  • A three part series on how to do natural language text processing using R.

    • Text mining in R.
    • Text Classification in R.
    • Changepoint Analysis of Linguistics in R.

Technical Materials

These are some of the useful proof techniques that I like and a bunch of technical materials that I have collected over the years.

Risk Bounds

Proof Technique
Consistency
In a learning problem, you are given a sample \(X_1, \dots, X_n\), and an objective function \(L(\theta; X)\) which represents the loss incurred by choosing parameter \(\thet…
June 12, 2026
18 min
June 12, 2026
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Reflections

These are my own way of understanding the ways of the world, again guided by various non-fiction books, podcasts and a few philosophy lessons.

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Recommended Resources

Internet is full of interesting things. Here’s a few that I like:

  1. Seeing Theory. http://seeing-theory.brown.edu/ - Interactive Visualization of Introduction of Probability and Statistics.
  2. The Idea behind Explorable Explorations: https://blog.ncase.me/explorable-explanations/. And here’s the list of such explanations: https://explorabl.es/.
  3. Alexander Bogomolny’s post on the Area of Circle by Rabbi Abraham bar Hiyya Hanasi - Probably the best proof that I have seen for showing that the area of a circle is half of the radius times the circumference.
  4. The Mathematics of Juggling - Allen Knutson.
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