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     <title><![CDATA[Learning Resource Center Search for 'su:&quot;Machine learning&quot;']]></title>
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     <description><![CDATA[ Search results for 'su:&quot;Machine learning&quot;' at Learning Resource Center]]></description>
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       <title>
    Deep learning /






</title>
       <dc:identifier>ISBN:9780262035613 | 0262035618</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=2541</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/0262035618.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Goodfellow, Ian,. 
	   
                        . xxii, 775 pages :
                        
                         24 cm.. 
                         9780262035613 | 0262035618
       </p>

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       <title>
    FOGA '11 :


    proceedings of the ACM/SIGEVO Foundations of Genetic Algorithms XI.





</title>
       <dc:identifier>ISBN:9781450306331 | 1450306330</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=4172</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/1450306330.01.TZZZZZZZ.jpg" alt="" />







	   <p>
	   New York, N.Y. : Association for Computing Machinery, 2011
                        . viii, 253 p. :
                        , Sponsored by ACM SIGEVO, supported by Vorarlberg University of Applied Sciences (FHV), edited by Hans-Georg Beyer &amp; William B. Langdon. | &quot;Schwarzenberg, Austria January 5-9, 2011&quot;--Cover.
                         24 cm.. 
                         9781450306331 | 1450306330
       </p>

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     <item>
       <title>
    FOGA 2009 :


    10th Foundations of genetic algorithms, Orlando, Florida, USA January 9-11, 2009) : revised selected papers.





</title>
       <dc:identifier>ISBN:1605584142 (softcover : alk. paper) | 9781605584140 (softcover : alk. paper)</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=4173</link>
        
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	   <p>
	   Orlando, Florida  : Association for Computing Machinery, 2009
                        . viii, 195 p. :
                        
                         24 cm.. 
                         1605584142 (softcover : alk. paper) | 9781605584140 (softcover : alk. paper)
       </p>

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     <item>
       <title>
    Machine learning :


    algorithms and applications /





</title>
       <dc:identifier>ISBN:9781498705387 | 1498705383</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=6810</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/1498705383.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Mohammed, Mohssen,. 
	   
                        . xxii, 204 pages :
                        
                         24 cm. 
                         9781498705387 | 1498705383
       </p>

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       <title>
    Deep learning /






</title>
       <dc:identifier>ISBN:9780262537551</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=12715</link>
        
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	   <p>By Kelleher, John D.,. 
	   
                        . x, 280 pages :
                        
                         18 cm.. 
                         9780262537551
       </p>

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       <title>
    Harnessing Automation and Machine Learning for Resource Recovery and Value Creation :


    From Waste to Value /





</title>
       <dc:identifier>ISBN:9780443273742</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=12926</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/044327374X.01.TZZZZZZZ.jpg" alt="" />







	   <p>
	   
                        . 530 pages :
                        , Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future.
Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices
Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions
Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management
Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line

                        
                         9780443273742
       </p>

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       <title>
    Mathematics for machine learning /






</title>
       <dc:identifier>ISBN:9781108470049 | 9781108455145</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=12927</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/1108470041.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Deisenroth, Marc Peter,. 
	   
                        . pages cm
                        
                        
                         9781108470049 | 9781108455145
       </p>

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       <title>
    Hands-on machine learning with Scikit-Learn, Keras and TensorFlow :


    concepts, tools, and techniques to build intelligent systems /





</title>
       <dc:identifier>ISBN:9781098125974 | 1098125975</dc:identifier>
        
        <link>/cgi-bin/koha/opac-detail.pl?biblionumber=12945</link>
        
       <description><![CDATA[

<img src="https://images-na.ssl-images-amazon.com/images/P/1098125975.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Géron, Aurélien,. 
	   
                        . xxv, 834 pages :
                        , Previous editions: 2019, 2017.
                         24 cm. 
                         9781098125974 | 1098125975
       </p>

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