AI, consciousness & Vedanta
Posts by Year
2022
Book recommendations from my Covid reading list
5 books to offer a different perspctive on life
2021
Is Data Structures & Algorithms important for a data scientist
Why do many companies still ask CS puzzle type questions in their coding round for DS roles
Structural and Generative Recursion
Looking at the design recipes for 2 common sorting algorithms in Scheme
You are never going to be an expert in data science
Don’t teach yourself data science in 10 days, but in 10 years
Tips and Tricks that helped me find a new job
Some valuable lessons I learnt in my recent job search experience
A lookback at what I was studying as a beginner data scientist
And why you don’t need another ‘How to become a data scientist in 2021’ listicle
How matrices transform space
An intuitive way to look at matrix vector multiplication, with applications in image processing
How much should one know in SQL for data science
Most tech firm interviews include SQL problems for DS roles, so how should you prepare for them?
2020
Matrix algebra operations using recursion
Implementing basic matrix algebra operations in Scheme using a Jupyter notebook
Analyzing gender bias in movie dialogues
Building a gender classifier model based on the dialogues of characters in Hollywood movies
Analyzing my Goodreads data
Simple EDA of my reading activity using tidyverse on R Markdown
Laziness vs The Trap of Productivity & Ambition
My experience using productivity tools for personal projects
Tree vs Tail Recursion & Memoization
Comparing Tree Recursion & Tail Recursion in Scheme & Python
Fun with Haskell
My notes halfway through the book Learn You A Haskell
How I ended up with a data science job
My topsy turvy ride to data science
Favourite learning resources for ML
Books, MOOCs and other resources that I would highly recommend
My journey with SICP so far
The magic of SICP