Machine Learning and DevOps
[Want to hear the whole story without reading? Check out the podcast! ] So I wanted to talk briefly about machine learning, that oh so wonderful buzzword. However instead of just throwing more hype I wanted to specifically focus on its practical applications within Infrastructure Technology Stacks. So most of the time when you are reading/listening about machine learning you hear about AlphaGo, or you hear about these big image classification systems such as ones that know how to identify pictures of hot dogs vs not hot dogs or cats vs dogs. It's generally working with pictures, which are things that humans do incredibly well with no training and machines do very poorly even if you train a lot of information. So how does this fit into environments like DevOps or IT where we are not doing human problems, but dealing with Hard Facts. We're not sales or Customer service, we're not talking to people, we're talking to computers nine times out of ten. Especially in ...