Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics (Record no. 44003)

MARC details
000 -LEADER
fixed length control field 03546nam a22001817a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1783555130
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781783555130
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number RAS
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Raschka, Sebastian
245 ## - TITLE STATEMENT
Title Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Birmingham, UK :
Name of publisher Packt Publishing,
Year of publication 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii, 425 p.
Other physical details illustrations
500 ## - GENERAL NOTE
General note Includes index
520 ## - SUMMARY, ETC.
Summary, etc Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk - and answer - tough questions of your data with robust statistical models, built for a range of datasetsWho This Book Is ForIf you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning - whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Pylearn 2 and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn DetailMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approachPython Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language) Machine learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term COMPUTERS / Programming Languages / Python.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference Books
Holdings
Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
Reference Main Library Main Library Reference 29/09/2016 Purchased 6522.75 005.133 RAS 015265 Reference Books

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