Machine Learning Is Not Magic: It's All About Math, Stats, Data, and Programming - The New Stack

This piece is the first in a series, called "Machine Learning Is Not Magic," covering how to get started in machine learning, using familiar tools such as Excel, Python, Jupyter Notebooks and machine learning cloud services from Azure and Amazon Web Services. Check back here each Friday for future installments. Back in 2010, when I first encountered the concept of Machine Learning (ML), I told myself that it is only for PhDs in Computer Science, which meant that I might never get a chance to work on it. As an ex-Microsoftie and Azure enthusiast, I decided to take a closer look at ML when Microsoft started to add Machine Learning components to Azure. Even then, I only got overwhelmed and confused by the enormous number of technologies and jargons surrounding it.