Blog
Below is a list of my recent posts. Most of my posts will be on academic research, Mathematics, Machine Learning and Statistics.
- 2024
- Introduction to On Device AI
- 2021
- Emulator for the 3D Matter Power Spectrum
- Parameter Inference with MOPED and GP
- 2020
- Machine Learning Resources
- Virtual Workshops
- Research Paper
- Black Lives Matter Protests
- Iterative Method For Likelihood Emulation
- 2019
- Emerging trends in AI and online education
- 2018
- Methods for Statistical Inference (Paris)
- Data Science Summer School 2018 (Paris)
- COSMO21 and ADAIX (Valencia)
- Yandex Machine Learning School 2018 (London)
- 2017
- Bayesian Evidence - The Gaussian Linear Model
- Bayesian Model Selection
- Bayesian School 2016
- Linear Regression
- 2016
- Sampling From Any Distribution
- An Introduction to Gibbs Sampling
- BIRO - Bayesian Inference for Radio Observations
- Surviving A Fast Growing Community Without Dying
- JEDI - An Alternate Route to Conventional Workshops
- Gaussian Process
- A Brief Overview of my Undergraduate Project