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1. 
Cover image for STATISTICAL PREDICTION AND MACHINE LEARNING
STATISTICAL PREDICTION AND MACHINE LEARNING
Author 
Chen, John Tuhao. Lee, Clement. Chen, Lincy Y.
Preferred Shelf Number 
QA276
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429318689
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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2. 
Cover image for Learning from data : an introduction to statistical reasoning
Learning from data : an introduction to statistical reasoning
Author 
Glenberg, Arthur M., author. Andrzejewski, Matthew E., author.
Preferred Shelf Number 
HA29
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003025405
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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3. 
Cover image for Post-shrinkage strategies in statistical and machine learning for high dimensional data
Post-shrinkage strategies in statistical and machine learning for high dimensional data
Author 
Ahmed, S. E. (Syed Ejaz), 1957- author. Ahmed, Feryaal, author. Yüzbaşı, Bahadir, author.
Preferred Shelf Number 
Q325.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003170259
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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4. 
Cover image for Tree-based methods for statistical learning in R
Tree-based methods for statistical learning in R
Author 
Greenwell, Brandon M.
Preferred Shelf Number 
T57.95 .G73 2022 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/e/9781003089032
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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5. 
Cover image for Gene expression data analysis : a statistical and machine learning perspective
Gene expression data analysis : a statistical and machine learning perspective
Author 
Barah, Pankaj, author. Bhattacharyya, Dhruba K., author. Kalita, Jugal Kumar, author.
Preferred Shelf Number 
QH450
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429322655
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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6. 
Cover image for Handbook of computational social science. Volume 2, Data science, statistical modelling, and machine learning methods
Handbook of computational social science. Volume 2, Data science, statistical modelling, and machine learning methods
Author 
Engel, Uwe, 1954- editor. Quan-Haase, Anabel, editor. Liu, Xun, editor. Lyberg, Lars, editor.
Preferred Shelf Number 
H61.3
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003025245
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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7. 
Cover image for Statistical learning using neural networks : a guide for statisticians and data scientists
Statistical learning using neural networks : a guide for statisticians and data scientists
Author 
Pereira, Basilio de Bragança, author. Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920- author. Borges de Oliveira, Fabio, author.
Preferred Shelf Number 
QA276.4 .P466 2020 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429431296
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Stochastic optimization for large-scale machine learning
Stochastic optimization for large-scale machine learning
Author 
Chauhan, Vinod Kumar, author.
Preferred Shelf Number 
Q325.5 .C43 2022 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003240167
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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9. 
Cover image for Machine learning for criminology and criminal research : at the crossroads
Machine learning for criminology and criminal research : at the crossroads
Author 
Campedelli, Gian Maria, author.
Preferred Shelf Number 
HV6024.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003217732
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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