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 money.

We're going to talk about data scientist salaries and what various factors affect those

salaries.

So this is a summary of a survey put out by O'Reilly called the 2017 Data Science Salary Survey,

tools, trends, titles, what pays and what doesn't for data professionals.

And O'Reilly puts out these surveys once a year, starting from 2013.

They've been collecting data from professionals all the way back to 2013

in order to analyze what factors affect data scientists' salaries, things like location, age,

gender, and all these things. And this survey is a PDF. You can get the survey online. I'll

put a link in the show notes. And I highly recommend you can get the survey online. I'll put a link in the show notes. And I highly

recommend you do get the survey online and read the PDF. They've got excellent charts and

graphs that I think will convey the information more effectively than this audio format. And

...