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Machine Learning with Spark - Second Edition by Nick Pentreath, Manpreet Singh Ghotra, Rajdeep Dua

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Preface

In recent years, the volume of data being collected, stored, and analyzed has exploded, in particular in relation to activity on the Web and mobile devices, as well as data from the physical world collected via sensor networks. While large-scale data storage, processing, analysis, and modeling were previously the domain of the largest institutions, such as Google, Yahoo!, Facebook, Twitter, and Salesforce, increasingly, many organizations are being faced with the challenge of how to handle a massive amount of data.

When faced with this quantity of data and the common requirement to utilize it in real time, human-powered systems quickly become infeasible. This has led to a rise in so-called big data and machine learning systems that ...

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