Hi, I'm Martins. This is a mélange of my writings and explorations. I'm a grad student studying misinformation detection using machine learning.
I previously was a data scientist at a startup, and before that, I graduated with an MEng in Aerospace Engineering.
Think of a Wolfram Notebook, firstly, simply as a tool for writing and executing code. Now, how does one write code? You would normally type it, and often copy and paste it.
I presented recent work on exploring the coherence of topics in fake news articles, at this year's International Workshop on News Recommendation and Analytics (INRA) (held in conjunction with ECML PKDD). This post summarises the work, its results and its potential impact.
For the third edition of my Exploratory Data Analysis (EDA) series, I shall be exploring the human heart, computationally.
I am researching the automatic detection of fake news using machine learning. In this post, I summarise what my research is about.
This is an idea I had during the summer. I've sporadically been reading on TDA for some time, and I'm intrigued by its applications in data science and machine learning, especially on high-dimensional data. I'm not an expert on TDA, but I hope to explain the viability of using it for mis-/dis-information analysis detection in this note.
For the second edition of my exploratory data analysis series, I shall be analysing data on trees in the city of Belfast. The dataset is supplied and made accessible by Open Data NI.
© 2021 Martins Dogo
"Everything new is on the rim of our view, in the darkness, below the horizon, so that nothing new is visible but in the light of what we know." — Zia Haider Rahman