Talks and presentations

Fundamental and Hands-on Introduction to Machine Learning

August 10, 2023

Talk, Seminar, Institute of Technology of Cambodia, Phnom Penh, Cambodia

This talk aims at providing key concepts of Machine Learning through real examples. Linear models in regression and classification are introduced along with some tasks. Some gradient-based optimization and penalization techniques are also discussed from Linear Regression to Deep Neural Networks. The slide can be found here: Introduction to Machine Learning. For those who want to play with the codes, you can find jupyter notebook of the simulation here: Teaching repository.

Estimating Balloon-observed Gravity Wave Moment Fluxes using Machine Learning and Input from Reanalysis

June 20, 2023

Talk, Seminar, University of Mainz, Germany

The talk took place at the SCALES conference from 26th to 30th June 2023 in Mainz, Germany. It is about reconstructing GWMFs observed by super-pressure balloons of Stratéole-2 campaign using ML and the description of large-scale flow from ERA5. It is the first part of my Postdoctoral research in atmospheric science. The slide can be found here.

$K$-means Clustering Algorithm via Vector Quantization

August 25, 2022

Talk, Graduate School of Science-RUPP, Online

The talk is about a mathematical model of data compression known as Vector Quantization and its algorithmic adaptation, the well-known K-means algorithm. The goal of this talk is to show how the mathematical theories of vector quantization model became the fundamental structure of K-means clustering algorithm. The slide can be found here.