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Data algorithms by Parsian, Mahmoud is a nonfiction available to read on EtoBox.

What is Data algorithms about?

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: * Market basket analysis for a large set of transactions * Data mining algorithms (K-means, KNN, and Naive Bayes) * Using huge genomic data to sequence DNA and RNA * Naive Bayes theorem and Markov chains for data and market prediction * Recommendation algorithms and pairwise document similarity * Linear regression, Cox regression, and Pearson correlation * Allelic frequency and mining DNA * Social network analysis (recommendatio

Who reads Data algorithms?

Author

Parsian, Mahmoud

Publisher

O'Reilly Media; O'Reilly Media, Inc.

Published

2015

Language

EN

ISBN

9781491906187

Category

nonfiction

Subjects

Science, Computer Science, Programming