Writings

Some writings from my learning notes. Still migrating most of them, here are a few from 2023.

2023

  1. Aug 25

    Monte Carlo Approximation Methods: Which one should you choose and when?

    A comparison of inverse transformation sampling, Metropolis-Hastings, and Gibbs sampling.

    Monte Carlo·Probability·Machine Learning·Towards Data Science

  2. Jul 19

    From Bits to Biology #1: Using LCS Algorithm for Global Sequence Alignment in Computational Biology

    A step-by-step analysis of the Longest Common Subsequence problem and the Sequence Alignment problem, with an explanation of their solutions highlighting their similarities and differences.

    Algorithms·Computational Biology·Dynamic Programming·Towards AI