num_pages: 776
description: Learn the algorithms and tools you need to build MapReduce applications with Hadoop for processing gigabyte, terabyte, or petabyte-sized datasets on clusters of commodity hardware. With this practical book, Author Mahmoud Parsian, head of the big data team at Illumina, takes you step-by-step through the design of machine-learning algorithms, such as Naive Bayes and Markov Chain, and shows you how apply them to clinical and biological datasets, using MapReduce design patterns.Apply MapReduce algorithms to clinical and biological data, such as DNA-Seq and RNA-SeqUse the most relevant regression/analytical algorithms used for different biological data types
language: English
title: Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
publisher: O'Reilly Media