Apache Spark Machine Learning Blueprints

Preface

As data scientists and machine learning professionals, our jobs are to build models for detecting frauds, predicting customer churns, or turning data into insights in a broad sense; for this, we sometimes need to process huge amounts of data and handle complicated computations. Therefore, we are always excited to see new computing tools, such as Spark, and spend a lot of time learning about them. To learn about these new tools, a lot of learning materials are available, but they are from a more computing perspective, and often written by computer scientists.

We, the data scientists and machine learning professionals, as users of Spark, are more concerned about how the new systems can help us build models with more predictive accuracy and ...