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This ebook, the third of a series, picks up where the second book left off on the topic of advanced analytics, and jumps straight into practical tips for performance tuning and powerful integrations with other machine learning tools — including the popular deep learning framework TensorFlow and the python library scikit-learn. The second section of the book is devoted to address the roadblocks in developing machine learning algorithms on Apache Spark — from simple visualizations to modeling audiences with Apache Spark machine learning pipelines. Finally, the ebook showcases a selection of Spark machine learning use cases from ad tech, retail, financial services, and many other industries.