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.
The most important thing in getting machine learning to work properly is training data.
And even more importantly, the skills required to make a good training set have nothing to do with math, computers, or engineering.
What is training data?
Let’s say you need a machine learning model to tag e-mails as spam when they come in. In order to train that model, you need training data. In this…
