Transient climate response (TCR) measures climate sensitivity by dividing average global temperature change (°C) with change in atmospheric carbon.

If you are a data scientist who is looking to contribute to climate issues, this piece is for you. The most valuable asset a data scientist can bring to the table is interactive visualization. You cannot fight what you cannot see so naturally to see the relationship between CO_2 and…

I believe every subject in the world boils down to a few core principles. A full grasp of them will navigate you to any derivatives. Previously, I claimed that statistics is the core of Machine Learning. And then I found my self stuck unless I explain some core concepts for…

When I speak of Confucianism what comes to your mind? Some would say fortune cookies while others might say rituals. However, this is a massive oversimplification, rituals not fortune cookies. So then what is Confucianism or why should you care. Why learn Confucianism You should care about Confucianism because it is trying to…

Overview of Supervised Learning Part 2 (Statistical Decision Theory-Conditional Expectation-EPE) — Now that we are more familiar with expected value in terms of square error loss, let’s talk about expected prediction error (EPE) and come to a full circle. The EPE is the expected value we discussed previously. But since we are talking about expected value of the loss function, which…

Overview of Supervised Learning Part 2 (Statistical Decision Theory-Expected Value of a Function) — Hopefully last time you gain some intuition about expected value, because this time we will start deriving the Linear Model by taking the expected value of the loss function.

Overview of Supervised Learning Part 2 (Statistical Decision Theory-Expected Value) — Much of what I have been ranting so far have been nothing more than a bottom-up approach to ML. To look at ML from top-down, we must talk about Statistics. If I have to give you 1 word to explain Machine Learning, it would be “statistics”. …

Like many breakthroughs in history, GAN isn’t complicated. It’s brilliant. If you are familiar with Object oriented programming and rudimentary machine learning, GAN is the obvious next step: dynamics of multiple models working together. Not only GAN creates amazing results, it also teaches us effective learning method: healthy competition. This…

Ok, let’s finish up Block-Chain by picking up where we left off last time: Blockchain and Transaction. If you are new to programming or did not read the part 1, I suggest you to go over it. As a refresher, last time we left at how the method mineBlock provides…