Simple, module wise implementation of Decision Trees using Gini index — I’ve talked quite a bit about decision trees. This is the article that we actually implement one. For the very basics, decision trees are a class of supervised learning algorithms in ML that relies on repeatedly splitting the dataset with respect to the “most plausible feature” to construct a graphical…

The door to Epiphenomenalism — Think of a brilliant scientist called Mary made to live in a dark room unable to connect to the external world except via a screen through which she monitors the world and unfortunately the screen is only capable of displaying grayscale images. Mary, a neurophysiologist by profession, excels in the…

The data itself is redundant, all that is needed to know is if it was greater than a threshold. — Activation functions are the driving forces of artificial neural networks, as they sit on top of any neuron and administer its behavior such as if it should fire upon a certain input, if it does, to what degree, and so on. Technically speaking, the activation function of a certain node…

“Computer vision is the science of programming a computer to gain a high-level understanding of digital imagery.” — ConvNets are at the heart of image recognition and computer vision. One of the most fascinating things about this is how a sequence of raw mathematical operations like multiplication and addition goes all the way to process and recognize complex visuals. In this episode, we talk about a few fundamental…

Can you beat what you just created? — Wonder why it is virtually impossible for an average person to beat a computer in strategic board games like chess, go, or tic tac toe? That’s because computers can literally see into the future (or futures, to be precise) of the game and decide the upcoming move accordingly. The class…

In the previous episodes, we’ve discussed a few clustering strategies like centroid based and hierarchy based (you can find them here, if interested); in this episode, we talk of yet another family of clustering algorithms. Density based clustering algorithms are ones that proceed by finding the areas with a higher…

So you’re reading this, but how confident are you that this is the same text from the author stated above and hasn’t been compromised to something else on the way (like I was writing on Data Science and the adversary altered it to a text on cryptography)? Well, networks are…