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In den WarenkorbZustand: New. KlappentextPlenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. This book explains how to harness the power of data analysis using the latest open source technology so that co.
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Verlag: Packt Publishing 9/30/2016, 2016
ISBN 10: 1785289713 ISBN 13: 9781785289712
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Practical Data Analysis 1.28. Book.
Verlag: Packt Publishing 10/25/2013, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
Sprache: Englisch
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Verlag: Packt Publishing 2013-10-22, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
Sprache: Englisch
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Verlag: Packt Publishing, Limited, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
Sprache: Englisch
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In den WarenkorbZustand: New. pp. 360 Index.
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Verlag: Packt Publishing, Birmingham, 2016
ISBN 10: 1785289713 ISBN 13: 9781785289712
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book * Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data * Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images * A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn * Acquire, format, and visualize your data * Build an image-similarity search engine * Generate meaningful visualizations anyone can understand * Get started with analyzing social network graphs * Find out how to implement sentiment text analysis * Install data analysis tools such as Pandas, MongoDB, and Apache Spark * Get to grips with Apache Spark * Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Packt Publishing, Birmingham, 2016
ISBN 10: 1785289713 ISBN 13: 9781785289712
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book * Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data * Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images * A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn * Acquire, format, and visualize your data * Build an image-similarity search engine * Generate meaningful visualizations anyone can understand * Get started with analyzing social network graphs * Find out how to implement sentiment text analysis * Install data analysis tools such as Pandas, MongoDB, and Apache Spark * Get to grips with Apache Spark * Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Machinery Industry Press, 2014
ISBN 10: 7111476239 ISBN 13: 9787111476238
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 80,28
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In den Warenkorbpaperback. Zustand: New. Pub Date: 2014-09-01 Pages: 335 Language: Chinese Publisher: Machinery Industry Press Big Data Technology Series: Practical Data Analysis of 14 chapters: Chapter 1 discussed the basic principles of data analysis and data analysis step; 2 chapter explains how to clean and ready for data; Chapter 3 shows a visualization application D3.js in JavaScript visualization framework to implement various types of data; Chapter 4 describes how to use Bayesian algorithms to distinguish spam; 5 Application.
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 657.
Verlag: Packt Publishing, Limited, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
Sprache: Englisch
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. 360.
Verlag: Packt Publishing, Limited, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
Sprache: Englisch
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In den WarenkorbZustand: New. Print on Demand pp. 360 3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Plenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. This book explains how to harness the power of data analysis using the latest open source technology so that companies may provide better customer service, visualize customer needs and even obtain fresh insights about the performance of previous products.