The next frontier in machine learning is something anyone can master

If I see one more article about Bayesian Forest’s being Random whilst also being Convolutional I’m going to disconnect my cable modem and let all of the internet spill out.

It is frustrating trying to learn about machine learning. Do I use YOLO, Keras, Tensorflow, PyTorch or all of them together somehow? And even if you figure out the PhD stuff, you still have to then master about three other disciplines to get it to work in production; devops, programming, and counting disciplines.

Well I am here for you brothers and sisters in computers, I have good news for your peace of mind.

And even more importantly, the skills required to make a good training set have nothing to do with math, computers, or engineering.

Is it obvious where the magic is yet?

Where did the 2000 examples e-mails come from? YOU! That’s right, anyone can create a dataset with just a bit of elbow grease, some focus, and the ability to follow a few simple conventions that I’ll outline below after I finish making this awesome point.

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