LEADER 00000cam a2200601Ia 4500 001 956481021 003 OCoLC 005 20240129213017.0 006 m o d 007 cr |n||||||||| 008 160810s2016 enk o 001 0 eng d 019 957527051|a1259103723 020 9781785888021|q(electronic bk.) 020 1785888021|q(electronic bk.) 029 1 DEBBG|bBV043970449 029 1 DEBSZ|b485809095 029 1 GBVCP|b882761102 029 1 AU@|b000067092803 035 (OCoLC)956481021|z(OCoLC)957527051|z(OCoLC)1259103723 037 CL0500000775|bSafari Books Online 040 YDXCP|beng|epn|cYDXCP|dIDEBK|dN$T|dUMI|dOCLCF|dTOH|dOCLCQ |dSTF|dDEBBG|dOCLCQ|dCEF|dKSU|dZCU|dUAB|dG3B|dIGB|dQGK |dOCLCO|dOCLCQ|dOCLCO 049 INap 082 04 006.31 082 04 006.31|223 100 1 Sjardin, Bastiaan. 245 10 Large scale machine learning with python :|blearn to build powerful machine learning models quickly and deploy large- scale predictive applications /|cBastiaan Sjardin, Luca Massaron, Alberto Boschetti. 260 Birmingham, UK :|bPackt Publishing Ltd.,|c2016. 300 1 online resource. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file 490 1 Community experience distilled 500 Includes index. 520 Learn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book Design, engineer and deploy scalable machine learning solutions with the power of Python Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful. What You Will Learn Apply the most scalable machine learning algorithms Work with modern state-of-the-art large-scale machine learning techniques Increase predictive accuracy with deep learning and scalable data-handling techniques Improve your work by combining the MapReduce framework with Spark Build powerful ensembles at scale Use data streams to train linear and non-linear predictive models from extremely large datasets using a single machine In Detail 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. Style and Approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly. Large-scale machine learning tackles a di... 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Machine learning. 650 0 Python (Computer program language) 650 6 Apprentissage automatique. 650 6 Python (Langage de programmation) 650 7 Machine learning|2fast 650 7 Python (Computer program language)|2fast 700 1 Massaron, Luca. 700 1 Boschetti, Alberto. 776 08 |iPrint version:|z1785887211|z9781785887215 |w(OCoLC)948336786 830 0 Community experience distilled. 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9781785887215/?ar 938 EBSCOhost|bEBSC|n1301141 938 ProQuest MyiLibrary Digital eBook Collection|bIDEB |ncis34515039 938 YBP Library Services|bYANK|n13108806 994 92|bJFN