<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[Knowledge Resource Center Search for 'au:&quot;Guido, Sarah&quot;']]> </title> <link> /cgi-bin/koha/opac-search.pl?q=ccl=au%3A%22Guido%2C%20Sarah%22&#38;sort_by=relevance&#38;format=rss </link> <atom:link rel="self" type="application/rss+xml" href="/cgi-bin/koha/opac-search.pl?q=ccl=au%3A%22Guido%2C%20Sarah%22&#38;sort_by=relevance&#38;format=rss"/> <description> <![CDATA[ Search results for 'au:&quot;Guido, Sarah&quot;' at Knowledge Resource Center]]> </description> <opensearch:totalResults>2</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="/cgi-bin/koha/opac-search.pl?q=ccl=au%3A%22Guido%2C%20Sarah%22&#38;sort_by=relevance&#38;format=opensearchdescription"/> <opensearch:Query role="request" searchTerms="q%3Dccl%3Dau%253A%2522Guido%252C%2520Sarah%2522" startPage="" /> <item> <title> Introduction to Machine Learning with Python: A guide for data scientists </title> <dc:identifier>ISBN:978-93-5213-457-1</dc:identifier> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=2077</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/9352134575.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Muller, Andreas C..<br /> Mumbai Shroff Publishers &amp; Distributors Pvt. Ltd. 2018 .<br /> 378 , Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. 978-93-5213-457-1 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=2077">Place hold on <em>Introduction to Machine Learning with Python: A guide for data scientists</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=2077</guid> </item> <item> <title> O&#39;REILLY Introduction to Machine Learning with Python </title> <dc:identifier>ISBN:978-93-5213-457-1</dc:identifier> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=3946</link> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/9352134575.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Muller, Andreas C. &amp; Guido, Sarah.<br /> New Delhi Shroff Publishers &amp; Distributors Pvt Ltd 2024 .<br /> 378 978-93-5213-457-1 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=3946">Place hold on <em>O&#39;REILLY Introduction to Machine Learning with Python</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=3946</guid> </item> </channel> </rss>
