Learning About Attention
Posted on Tue 04 March 2025 in posts • Tagged with Python, NLP, Transformers • 3 min read
Posted on Tue 04 March 2025 in posts • Tagged with Python, NLP, Transformers • 3 min read
Posted on Thu 30 January 2025 in posts • Tagged with Python, Machine Learning, Flow Matching • 2 min read
Posted on Mon 20 January 2025 in posts • Tagged with Python, Machine Learning, Flow Matching • 2 min read
Posted on Fri 17 January 2025 in posts • Tagged with Python, Machine Learning, Flow Matching • 6 min read
Posted on Tue 08 October 2024 in posts • Tagged with Python, Machine Learning • 2 min read
Over time, I became interested in not simply reading the relevant research papers in my field, but also write their overviews. I believe that writing these will help me solidify information I learned in various papers.
This review begins what I hope to make a series of posts about …
Posted on Sat 25 March 2023 in posts • Tagged with Probability, Python • 2 min read
Here is a question: pick two points on a circle of radius \(r\) independently uniformly at random.
What is the average distance between these two points?
Let's to analyze this question using probabilistic mathematical reasoning before doing simulations.
To sample a point \(P=(X …
Posted on Tue 18 August 2020 in posts • Tagged with python, regular expressions, matlab, maple • 3 min read
In this short post, I wanted to point out one interesting application of regular expressions I had to work on for my PhD research project. The code was meant as a technical tool to help tranlate some ordingary differential equation models from numerical (Matlab) to symbolic (Maple) code.
Posted on Sun 14 June 2020 in posts • Tagged with machine learning, python, numpy, deep learning • 12 min read
In this post, I expand on a little class/self-teaching project that I did during the Spring 2020 semester.
In this section we will discuss the main organization of the library:
Posted on Mon 02 March 2020 in posts • Tagged with machine learning, logistic regression, python, scikit-learn, statistical learning • 5 min read
In this post, I put together an interesting example of what to do with imbalanced datasets and why precision and recall matter.
The following is part of a Machine learning assignment I had to do while at CUNY. This particular example illustrates quite well the importance of understanding various …
Posted on Mon 24 February 2020 in posts • Tagged with machine learning, linear regression, python, scikit-learn, statistical learning • 12 min read
In this post I wanted to describe a simple application of a linear least squares method to a problem of data classification. It is a naive approach and is unlikely to beat more sophisticated techniques like Logistic Regression, for instance.
Some imports we are going to need for this …