Data Algorithms: Recipes for Scaling Up with Hadoop and Spark (Paperback)
暫譯: 數據演算法：使用 Hadoop 和 Spark 擴展的配方 (平裝本)

Mahmoud Parsian

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark (Paperback)

買這商品的人也買了...

商品描述

Learn the algorithms and tools you need to build MapReduce applications with Hadoop and Spark 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-stepthrough 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-Seq
  • Use the most relevant regression/analytical algorithms used for different biological data types
  • Apply t-test, joins, top-10, and correlation algorithms using MapReduce/Hadoop and Spark

商品描述(中文翻譯)

學習您需要的算法和工具，以便使用 Hadoop 和 Spark 建立 MapReduce 應用程式，處理在一般硬體集群上大小為千兆字節、太字節或拍字節的數據集。這本實用的書籍由 Illumina 大數據團隊負責人 Mahmoud Parsian 撰寫，將逐步引導您設計機器學習算法，例如 Naive Bayes 和馬可夫鏈，並展示如何將它們應用於臨床和生物數據集，使用 MapReduce 設計模式。

- 將 MapReduce 算法應用於臨床和生物數據，例如 DNA-Seq 和 RNA-Seq
- 使用最相關的回歸/分析算法，針對不同的生物數據類型
- 使用 MapReduce/Hadoop 和 Spark 應用 t 檢驗、聯接、前十名和相關算法

類似商品

最後瀏覽商品 (20)