Welcome to My Blog!

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Hello!
I am Junhee Kim, an aspiring Data Scientist focusing on
Bayesian ML, deep learning, and graphical models.
Here, I explore probabilistic models, neural networks,
and graph-based methods through theory and hands-on code.

This blog covers topics centered on Bayesian probabilistic models, machine learning, and graph-based methods, including:

  • Theory breakdowns
  • Code reviews
  • Paper reviews

Key Topics

  • Bayesian Inference (MCMC, Variational Inference)
  • Probabilistic Deep Learning
  • And more