After I finished my requirements for university, I reassessed myself and set up on a 4-month journey to study AI, following a curated bottom-up curriculum using the books that I bought and some courses. Looking back, this is one of the best decisions I have ever made.
Shoutout to the slack communities that helped me to be accountable in this study — Udacity folks from AI Network and Filipinos from the former AI Study Group PH, and twitter folks.
One of the checkpoints I have included in my curriculum is to pass the TensorFlow Developer Certification Exam. …
At night, as you open the news, road crashes show up as if it has a scheduled time slot. As you go out in the morning, you find yourself being added to that sea of vehicles, you wonder,
“Can our roads be made safer or should we just suck it up?”
In the recent report released by United Nations titled — ” Sustainable Development Goals for 2020”, it was written:
Today is the day the Phase 2 of the Udacity Bertelsmann Scholarship formally comes to a close. It’s a great time to share about my experience in the past ~10 months.
I was already interested in Artificial Intelligence at that time but was kind of just starting. As a student, my allowance is kind of short especially to Udacity Nanodegrees. However, I am really interested with it because the nanodegrees are really hands on, there are mentors present while learning, reviewers giving feedback to the projects and known industry experts teaching it, even the pioneers themselves! A friend of mine…
I appreciate this integration concept primarily because among the method that we’ve discussed in class, this one is the only method that consider eliminating its errors. Though not all, but the elimination helps really well.
Before anything else, let’s approach this one using a top-down approach also. We discuss first Numerical Integration in general then we go to Romberg Integration.
To get the reason behind the name, this one is the needed part.
Numerical Integration is also called as ‘Numerical Quadrature’ or ‘Numerical Approximation of Definite Integrals’. Its name is from the ancient methods for computing areas of curved figures…
I was entranced by this method when I first heard of it, especially the derivation. This post will show you how I cracked it out and made it simpler. We will use the top-down approach and make sure you visualize while you’re reading to understand it better.
In a nutshell, it asks:
How can we fit all these data points using a function?
The function that we are referring to is also called interpolating function or interpolant.
BS Computer Science Graduate | Udacity-Bertelsmann AI Scholar