Join me in this roadtrip of different recommender algorithms.
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!
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.
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 […]
Deep Dive Materials
These are my materials for Deep Dive sessions to ML using popular Python libraries.
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.
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 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.
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 […]