A simple guide for those who want to learn machine learning: | Artificial Intelligence

A simple guide for those who want to learn machine learning:

These are 3 online courses you can take in order. I also have a bonus for those who need a little bit more.

First, start with freeCodeCamp's Python course.

It's a free 9-hour course. You'll find it on their YouTube channel. Search for "Python Tutorial for Beginners (with mini-projects)."

Second, cover the basics of machine learning.

Take Google's Machine Learning Crash Course. It's free, and you'll find it online.

This course starts from scratch, and it's focused on beginners. It's an excellent choice for those who want to take things slow.

There are two alternatives that I recommend to people who want to take it even slower:

• Intro to Machine Learning
• Intermediate Machine Learning

These are tutorials from Kaggle. These are short courses, but you will learn a ton from them. 

Finally, take the Machine Learning Specialization on Coursera.

Completing this specialization will take several weeks. It's not free, but nothing that matters is.

Bonus for those who need a bigger challenge:

Explore GitHub projects, read top research papers in the field. Remember real world learning is always important.

In summary:
1. Python Tutorial for Beginners (freeCodeCamp)
2. Google's Machine Learning Crash Course
3. Coursera's Machine Learning Specialization

But what about the math?

Don't rush it. You'll have plenty of opportunities to learn mathematics. Start building and pick the math as you go.

People always ask me about the timeline: How long will this take them?

My answer is always the same: how long do you have? This will take all of it.

Happy Machine Learning!