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. This is episode 26, project Bitcoin trader.

This episode is going to be a little different.

We're going to introduce a project that we as a community can develop together

so we can sharpen our teeth on machine learning engineering.

The project is going to be a Bitcoin trading bot.

There's a few reasons for the selection of this project.

One is that cryptocurrency is a super hot topic right now. Another is that, hey, you and me might be able to get rich from this project. I'm not kidding. I've been working pretty hard on this thing for the last six months nights and weekends, and I'm crossing my fingers that it will work out someday. We'll be able to crack the code. But the main reason for using Bitcoin trading for our

project is that it's going to lend really well to the coming episodes. The next episode after this

one is going to be on hyperparameter selection, and the one after that, we're finally going to start

on reinforcement learning, deep reinforcement learning. And Bitcoin trading handles very specially

in hyperparameter selection this next coming

episode. It very intuitively highlights a lot of the decisions that we can make about choosing

network architecture, which types of layers to use, whether they're LSTM or convolutional layers,

...