Notes
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
AWS Cloud Data Analytics Guide
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.
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.
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.
Recommended Resources
Internet is full of interesting things. Here’s a few that I like:
- Seeing Theory. http://seeing-theory.brown.edu/ - Interactive Visualization of Introduction of Probability and Statistics.
- The Idea behind Explorable Explorations: https://blog.ncase.me/explorable-explanations/. And here’s the list of such explanations: https://explorabl.es/.
- 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.
- The Mathematics of Juggling - Allen Knutson.