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The barriers to getting into machine learning have never been lower: Go do ML
The need to code has never been so important. Why we don’t teach our kids to code at the earliest stage possible is beyond me?
The barrier to coding has never been so low. If you access repl.it, you can virtually ever programming language you want, and have it running in the Cloud. And now you can setup teams, where you can add as many students as you want. And it you want to get serious about your coding, you go and buy a R-PI, and you have a device which fits in your pocket and ready to code on.
The need to learn machine learning has never been higher. As a world we are increasingly swamped by data, and in areas such as cybersecurity, the need to process masses of data increases by the day.
The barrier to machline learning has never been lower. With Python, a machine learning programme can be created in minutes.
Go on …
So what’s holding you back? In this article, I will introduce the the key metrics used to define success in machine learning, and how we plot the ROC (Receiver Operating Characteristic).
