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Mastering Machine Learning with Spark 2.x
book

Mastering Machine Learning with Spark 2.x

by Alex Tellez, Max Pumperla, Michal Malohlava
August 2017
Beginner to intermediate
340 pages
8h 42m
English
Packt Publishing
Content preview from Mastering Machine Learning with Spark 2.x

The dataset

Upon releasing their findings to the scientific community in 2012, researchers later made the data public from the LHC experiments where they observed - and identified - a signal which is indicative of the Higgs-Boson particle. However, amidst the positive findings is a lot of background noise which causes an imbalance within the dataset. Our task as data scientist is to build a machine learning model which can accurately identify the Higgs-Boson particle from background noise. Already, you should be thinking about how this question is phrased which would be indicative of binary classification (that is, is this example the Higgs-Boson versus background noise?).

You can download the dataset from https://archive.ics.uci.edu/ml/datasets/HIGGS ...
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Publisher Resources

ISBN: 9781785283451