GIG, Grow, Innovate, G-Data – Light IT Up
GIG – G DATA – Light It Up
I'm a software engineer and a data science guy on recommender systems, natural language processing, and computer vision.
GIG, Grow, Innovate, G-Data – Light IT Up
Join me in this roadtrip of different recommender algorithms.
Time for another vision blog. Here, I’ll talk about dogs. Humans can identify a dog from a cat well enough, but it’s a little harder to distinguish specific dog breeds. For instance, can you tell which is which in the following? Well, on the left is a Siberian Husky and on the right is an […]
What Worries Me About AI A great post by the author of Keras, Francois Chollet. As technologists, we need to build the anti-Facebook, a place where in place of giant corporations hijacking our beliefs and manipulating our opinions, we have smart assistants which gives us tools on whatever goals we have at a specific time. […]
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!
With some data wizardry, here’s the TED Talks Network!
I came across an article on emerging IT technologies for 2017. Most are rather ambitious in the local setting. Some though apply perfectly here.
Often, recommendations are printed as “You Might Like X because you watched Y.” This connection grounds the user from a prior experience and encourages her to consume the recommended content.
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.
Hey all, it’s time for another machine learning blog. This time, I’m tackling recommendation systems. I’ve found this neat dataset, Steam Video games over at Kaggle. You should definitely check it out. We’ll be going from analyzing how people play these games, to how we can infer ratings from usage patterns. I’ll be implementing my […]