Large Scale Machine Learning with Python

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文件名称：Large Scale Machine Learning with Python
文件大小：10.97MB
文件格式：RAR
更新时间：2019-09-08 00:26:49
Large Scale Machine Learning Python Large Scale Machine Learning with Python [PDF + EPUB + CODE] Packt Publishing | August 4, 2016 | English | 439 pages Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.

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LargeScaleMachineLearningWithPython_Code
----Chapter 05()
--------Chapter_5_code.ipynb(61KB)
----README.txt(189B)
----Chapter 02()
--------Chapter_2_code.ipynb(73KB)
----Chapter 04()
--------Chapter_4_code.ipynb(519KB)
----Chapter 06()
--------Chapter_6_code.ipynb(55KB)
----Chapter 08()
--------Chapter_8_code_HDFS.ipynb(14KB)
--------Chapter_8_code_Spark.ipynb(12KB)
--------Chapter_8_code_MR.ipynb(17KB)
--------Chapter_8_code_Vagrantfile(881B)
----Chapter 03()
--------Chapter_3_code.ipynb(64KB)
----Chapter 09()
--------Chapter_9_code_01.ipynb(24KB)
--------Chapter_9_code_02.ipynb(48KB)
----Chapter 07()
--------Chapter_7_code.ipynb(730KB)