Learn to quickly build powerful machine learning models and deploy large-scale prediction applications! With the proliferation of big data, the demand for computational and algorithmic efficiency is growing. The book "Large-Scale Machine Learning in Python" opens a new wave of machine learning algorithms that meet the requirements of scalability as well as high predictive accuracy. First of all, we start with a family of machine learning algorithms that are considered scalable. With this family of algorithms, we take you through three levels of scalability. The first level is all about accelerating algorithms that can be used on a desktop computer. We will provide advice on parallelization and memory allocation. The second layer concerns newer algorithms that are specifically designed for scalability and can handle large files.