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1. 
Cover image for Learning from data concepts, theory, and methods
Learning from data concepts, theory, and methods
Author 
Cherkassky, Vladimir S. Mulier, Filip.
Preferred Shelf Number 
ONLINE
Electronic Access 
IEEE Xplore http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201503
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2. 
Cover image for Learning from data : concepts, theory, and methods
Learning from data : concepts, theory, and methods
Author 
Cherkassky, Vladimir S. Mulier, Filip.
Preferred Shelf Number 
TK5102.9 C475 2007
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3. 
Cover image for Learning from data : Concepts, theory, and methods
Learning from data : Concepts, theory, and methods
Author 
Cherkassky, Vladimir S. Mulier, Filip, ort. yaz.
Preferred Shelf Number 
TK 5102.9 C475 1998
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4. 
Cover image for Big data analytics : a guide to data science practitioners making the transition to big data
Big data analytics : a guide to data science practitioners making the transition to big data
Author 
Matter, Ulrich, author.
Preferred Shelf Number 
QA76.9 .B45
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003378822
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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5. 
Cover image for Machine learning and data science : fundamentals and applications
Machine learning and data science : fundamentals and applications
Author 
Agrawal, Prateek, editor. Gupta, Charu (Charu N.), editor. Sharma, Anand, editor. Madaan, Vishu, editor. Joshi, Nisheeth, editor.
Preferred Shelf Number 
Q325.5 .M33 2022
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119776499
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6. 
Cover image for Demystifying AI : data science and machine learning using IBM SPSS modeler
Demystifying AI : data science and machine learning using IBM SPSS modeler
Author 
Truong, Dothang, author.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003468196
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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7. 
Cover image for Data science and machine learning for non-programmers : using SAS Enterprise Miner
Data science and machine learning for non-programmers : using SAS Enterprise Miner
Author 
Truong, Dothang, author.
Preferred Shelf Number 
Q325.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003162872
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Data Management, Analytics and Innovation Proceedings of ICDMAI 2022
Data Management, Analytics and Innovation Proceedings of ICDMAI 2022
Author 
Goswami, Saptarsi. editor. Barara, Inderjit Singh. editor. Goje, Amol. editor. Mohan, C. editor. Bruckstein, Alfred M. editor.
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-981-19-2600-6
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9. 
Cover image for Proceedings on International Conference on Data Analytics and Computing ICDAC 2022
Proceedings on International Conference on Data Analytics and Computing ICDAC 2022
Author 
Yadav, Anupam. editor. Gupta, Gaurav. editor. Rana, Puneet. editor. Kim, Joong Hoon. editor. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-981-99-3432-4
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10. 
Cover image for Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data.
Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data.
Author 
Karpatne, Anuj, editor. Kannan, Ramakrishnan, editor. Kumar, Vipin, 1956- editor.
Preferred Shelf Number 
Q325.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003143376
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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11. 
Cover image for Advances in machine learning and data mining for astronomy
Advances in machine learning and data mining for astronomy
Author 
Way, Michael J.
Preferred Shelf Number 
QB51.3 .E43 A386 2012
Electronic Access 
Click here to view.
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12. 
Cover image for Multivariate statistics and machine learning : an introduction to applied data science using R and python
Multivariate statistics and machine learning : an introduction to applied data science using R and python
Author 
Denis, Daniel J., 1974- author.
Preferred Shelf Number 
Q325.5 .D46 2026 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003376941
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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