I am a traveller, not in the literal sense of it, but I always tend to look at the outside world and marvel at the many wonderful things happening. I tend to sample topics from the following areas:

`R`

`Python`

`emacs`

`org-mode`

- Frequentist Statistics
- Bayesian Statistics
- Stochastic Processes
- Machine Learning
- Linear Algebra
- Convex Optimization
- Deep Learning
- Natural Language Processing
- Non Fiction Books
- General Physics
- Data Visualization and Story telling
- Sitar
- Hindustani Classical Music
- Math/Statistical Models across various disciplines
- Mid frequency trading models
- High frequency trading models
- Cloud Computing
- Meta Learning
- Origins of Probability
- Information Theory
- Exchange Traded Funds
- Alternative Data

I tend to pick up a random topic from the above sample and spend some time understanding the topic. Then I move on to the next random topic. In this way, I don’t get fixated on one specific area. I have experimented with ways to learn a variety of things. Finally I have found this random sampling approach to be the best approach to learn a bunch of things on a sustainable basis. Ofcourse, there needs to be a good enough repetition of the topics and hence have built in a spaced repetition schedule over the last decade or so.

The purpose of this blog is to put down in words, images, code, all my
experiences in the learning journey called **Life**

I am reachable at rksmusings@gmail.com