Machine Learning with Apache Spark Quick Start Guide

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About the reviewer

Emmanuel Asimadi is a data scientist currently focusing on natural language processing as applied to the domain of customer experience. He has an MSc in cloud computing from the University of Leicester, UK, with over a decade experience in a variety of analytic roles both in academic research and industry. His varied portfolio includes projects in Apache Spark, natural language processing, semantic web, and telecommunications operations management involving the creation and maintenance of ETL services that support telecom infrastructure operations and maintenance using data from thousands of nodes in the field.

Emmanuel also co-authored a video called Advanced Machine Learning with Spark and has made a significant contribution to the development of the video Big Data Analytics Projects with Apache Spark, which was published recently by Packt Publishing.

I love everything to do with data and the value it delivers, and I feel very fortunate to be part of its creation and the first-hand experience thereof. I am a big fan of Apache Spark because of its unified approach and simple APIs, which align very well with my general philosophy of teaching – that even the most complex concepts can be explained simply – and it is great to see this applied in this book.