Python: Real World Machine Learning
by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
Spark
Apache Spark is an evolution of Hadoop and has become very popular in the last few years. Contrarily to Hadoop and its Java and batch-focused design, Spark is able to produce iterative algorithms in a fast and easy way. Furthermore, it has a very rich suite of APIs for multiple programming languages and natively supports many different types of data processing (machine learning, streaming, graph analysis, SQL, and so on).
Apache Spark is a cluster framework designed for quick and general-purpose processing of big data. One of the improvements in speed is given by the fact that data, after every job, is kept in-memory and not stored on the filesystem (unless you want to) as would have happened with Hadoop, MapReduce, and HDFS. This thing makes ...