Tutorial - foundations of machine learning and data science for developers

A knowledge of algorithms (maths and stats) is the main differentiator between traditional programming and analytics -based programming. Having said that, it helps to start with programming and approach the maths (initially) through APIs and libraries. I find that this technique works better because more people are familiar with programming than with maths. Techniques used in Data Science such as Data transformations, Exploratory data analysis, Feature engineering, Ensemble strategies, and Visualization (story telling) all involve maths and stats. Future versions of this tutorial will elaborate on this.