What this book covers
Chapter 1, Introduction to Large-Scale Machine Learning, invites readers into the land of machine learning and big data, introduces historical paradigms, and describes contemporary tools, including Apache Spark and H2O.
Chapter 2, Detecting Dark Matter: The Higgs-Boson Particle, focuses on the training and evaluation of binomial models.
Chapter 3, Ensemble Methods for Multi-Class Classification, checks into a gym and tries to predict human activities based on data collected from body sensors.
Chapter 4, Predicting Movie Reviews Using NLP, introduces the problem of nature language processing with Spark and demonstrates its power on the sentiment analysis of movie reviews.
Chapter 5, Online Learning with Word2Vec, goes ...
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