For this introduction I am going to define key terms so we can do into more depth about the applications and uses of data structures and algorithms. These will be the key terms defined in this section ...

In this article I provide a three (3) known programming interview questions each from Google, Amazon, Microsoft, and Netflix and seven (7) from miscellaneous interviews I've been on. Each is answered ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

A stack in Python is a linear data structure that follows the Last-In-First-Out (LIFO) principle. Think of it as a stack of plates: the last plate you put on top is the first one you remove. Stacks ...

CRISPR-Cas induced homology-directed repair (HDR) enables the installation of a broad range of precise genomic modifications from an exogenous donor template. However, applications of HDR in human ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

If I didn't cover something you want to know about or you find another problem, please open an issue on github. The Unix shell is one of my favorite inventions ever. It's genius, plain and simple. The ...