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A guide for DevOps engineers, built around commands you can run yourself. The mental model that costs you debugging time Almost everyone learns containers the same way. Someone tells you a container i
A guide for Rust novices, built around a real codebase. If you come from Java, C#, or Python, you may have learned "clean architecture" using inheritance: a base class defines a method, and subclasses
Sometimes you might need to create a function with multiple parameters. Let's say you need to create a function that adds an arbitrary amount of numbers. But beforehand, you don't know the number of parameters. How would you implement it? Here is w...
In Natural Language processing, we use the bag of words model as a way to extract features from text corpus for machine learning-related tasks such as text classification. (e.g., spam filtering, text category classification, sentiment analysis, etc.)...
In Linear Algebra, we solve systems of linear equations, and if we want to programmatically solve them, we can use Python’s Numpy library to do so. This article will show you how it’s done. Let’s get started. First you need to install Numpy using Py...
Iterables give the ability for a JS object to be iterated and to be used in a 'for of' loop. A typical use case for a 'for of' loop is when looping across an array. const arr = [1,2,3,4,5] for(let num of arr){ console.log(num); } However, we ca...
In machine learning, one of the main prerequisites is Linear Algebra. In Linear Algebra, the first lesson you learn is about linear systems of equations and solving these systems. In this blog post, I hope to explain how these equations can be solved...
Randomness in languages is inherent since it's the medium used in communication by all people. Therefore compared with other types of data, languages are prone to more randomness and noise. When we use machine learning models to process large text c...
