code kaggle recommender sessions

Recommendation Roadtrip- My PythonPH Talk

Join me in this roadtrip of different recommender algorithms.

data engineering sessions

DILG – ISTMS Training on Pentaho Data Integration

Through BusinessMinds, I had the privilege of teaching students from DILG. “I am responsible for my data.” Take care of it! More power to DILG!

code conferences sessions

DOST – Summer School for AI – Code Materials

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.

conferences sessions

Me at Big Data Anaytics Conference 2016

The Big Data Anaytics conference held at Enderun Colleges just finished last November 15. I was part of the panel on Top Challenges on Big Data Security and Privacy. It was a breakout session where people get to ask questions in an academic-business setting. More on that in a while. The conference started when Colin […]

code sessions

Deep Dive Materials

These are my materials for Deep Dive sessions to ML using popular Python libraries.

conferences sessions Uncategorized

Pictures from the August Data Science Meetup

I thank Data Science PH meetup group for the opportunity to hold a talk and introduce Cybersecurity + Data Science.


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.

sessions Uncategorized

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 […]

sessions Uncategorized

Deep Dive Weeks 2 & 3

The past two weeks involved supervised learning. After discovering NumPy and doing some feature engineering with the homework, we proceeded with supervised learning.

classes sessions

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 […]