This article will take you from fundamental definitions to various algorithms, including dfs,bfs, dijkstras, and minimum spanning trees. A version of this article with linked outline (and better format overall) is also accessible on notion here. 💙 Why graphs? graphs can be used to model various relationships in many fields (information systems…

We generally see artificial intelligence classifying and predicting, but creating? That’s somethin’ spicy. 🤩 This is called neural style transfer. NST (Neural Style Transfer) transfers a style from a picture to another- using neural networks to transfer the style.

Combinatorics is interesting, let’s get right into it ⬇️ Let’s start with something simple: How many 4 digit numbers can be made? (Where the first digit is nonzero) There are 9 choices for the first digit, and no matter what you do for the first digit, there are always 10…

Today, random forests are integrated into many applications- in the banking industry, healthcare and medicine, stock market, and more. 😄 Basically, random forest is a flexible machine learning algorithm thats easy to use and produces awesome results. (even without hyper-parameter tuning) How awesome is that? 😝 So, let’s back up…

Looking around, we can easily and clearly identify objects without thinking about it. For computers though, they need to use image processing algorithms to do what we do effortlessly. Computer vision has been booming- enabling computers to see and process images the way we do. It’s actually already around us…

Learning and mastering complex skills requires intense uninterrupted concentration-however, with the internet, deep work is increasingly being replaced by the shallow alternatives such as sending and receiving e-mail messages. Here are my key takeaways from this book, which is an introduction/guide to deep work. 🦄Who you are, what you think…

Neuroscience and AI work hand in hand- neuroscience playing a key role in AI and being an inspiration for building human-like AI. Neuroscience inspires designs in AI systems through neural networks that mimic brain structure. Computational neuroscience is an approach to understanding the development and function of nervous systems, describing…