How I’d learn ML in 2024 (If I Could Start Over)

Author(s): Boris Meinardus

Originally published on Towards AI.

All you need to learn ML in 2024 is a laptop and a list of the steps you need to take.

I am a student researcher working for an Ex-Meta professor and have had interviews with Google DeepMind, Amazon, and other cool companies, but it took me over 3 years to get to this point.

So, today, I will share how I would learn ML if I could start over by revealing the 6 key steps you need to take.

Let‘s get going!

In general, all these steps don’t have to be strictly completed in any particular order but I would not start with the final and arguably most important step.

That said, what I do highly recommend to start with is learning the basics of Python.

Python is THE programming language used by pretty much everyone to work on machine learning, and every other step on this list builds on top of it.

This mainly applies to beginners who don’t know what a list or dictionary are and who don’t know how to write a simple if-else statement or a for loop. I would even go as far as saying you also need to learn what list comprehensions and class inheritance are.

Honestly, I don’t know what to say other than just typing in “Python tutorial” or course on YouTube or Google and getting started. There is… Read the full blog for free on Medium.

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Published via Towards AI