Machine Learning Was Hard Until I Learned These 5 Secrets!

Author(s): Boris Meinardus

Originally published on Towards AI.

The secrets no one tells you but make learning ML a lot easier and enjoyable.

There is a lot of scary math and code you need to understand to learn machine learning. It can be very hard! For me at least it was as well until I learned these 5 secrets, which honestly aren’t even secrets but no one really teaches you them, although everyone should know them…

I mean, I spent the last 3.5 years studying machine learning, and it took me way too long to learn these secrets on my own.So let me reveal them to you so that you don’t have to struggle for that long!

You are thinking of math the wrong way around, which already sets you up for failure at the very beginning, but it’s not your fault!

Back when I started learning ML, some of my professors would simply throw a formula on the screen and tell us “This is the loss function for a decision tree” and that was it.

Most of my peers and I were confused. We simply stared at the formula and waited for a magical “aha” moment when the formula made sense.

I was always asking myself how those smart scientists could understand math… Read the full blog for free on Medium.

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Published via Towards AI