ACIIDS 2020, a top academic conference organized by King Monkut’s Institute of Technology, Thailand and Wroclaw University of Science and Technology, Poland, was held completely online. From March 23 to March 25, professors and students from all over the world gathered in solidarity in front of their laptops for the advancement of science. Here’s […]
Thesis Defense Day
Today I did the defense of my masters thesis entitled PRTNets: Cold-start recommendation using Pairwise Ranking and Transfer Networks. After nearly 5 years, I’m almost at the finish line! I never did notice that I spent more time in terms of semesters in UP than I did in ADMU. And this was because I changed […]
Join me in this roadtrip of different recommender algorithms.
DOST organized a summer school tackling AI, machine learning and data science for researchers, teachers, graduate students and industry practitioners. I had the privilege of teaching the first module, Python programming.
Deep Dive Experiences
I thought it would be interesting to share a newcomer’s experiences with machine learning. Hopefully you can also get inspired into learning this amazing discipline.
It’s over 70!
This is quite a late post for me, but I just want to detail here the session I taught three weeks ago. We have a large machine learning competition in Trend Micro and I volunteered to hold a boot camp for Trend Labs, the “Philippine division”, prior to the competition. Thinking that it was high […]
Deep Dive Wednesdays Week 1
Working on week 1 y’all. Week 1’s goal is to lay out the foundations for data science, mainly data exploration and feature engineering. We worked with IPython, wrangled with NumPy matrices, tussled with Pandas’ indexing and gazed at Matplotlib with amazement. A lot of it was syntactic sugar, and it does takes some time getting […]
CS282 Presentation – Scene Recognition
For this post, I’m sharing my presentation in our computer vision class. We are given two papers with similar topics and we are to discuss them in 15 minutes.