Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli.

MLG teaches the fundamentals of machine learning and artificial intelligence.

It covers intuition, models, math, languages, frameworks, and more.

Where your other machine learning resources provide the trees, I provide the forest.

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

I'm also starting a new podcast which could use your support. It's called

Lefnear's Life Hacks and teaches productivity focused tips and tricks, some which could prove

beneficial in your machine learning education journey. Find that at Ocdevel.com forward

slash LLH. You're listening to Machine Learning Applied.

In this episode, we're going to talk about Docker.

Docker.

Now, Docker is a technology that lets you run software on your computer, an operating system on your computer, okay?

Like an entire operating system packaged up into a little package that is running inside of your, what we call it, the host operating system, is running a guest operating system.

So if you are developing on Windows or Mac, you can use Docker to run Ubuntu Linux or Windows or Mac inside of your

host machine. Now, you may be familiar with this concept. If you're not already familiar with

Docker, you might already be familiar with the concept of virtual machines or virtualization.

It's the same thing basically, but technologically different.

A virtual machine does the same thing.

It allows you to run an operating system inside of your operating system,

Linux inside of your windows, but it is technologically different in a few ways

that are important to us as developers.

...