Call Number (LC) | Title | Results |
---|---|---|
Q325.73 .Y42 2022 | Modern deep learning design and application development : versatile tools to solve deep learning problems / | 2 |
Q325.73 .Z46 2022 | Deep learning on edge computing devices : design challenges of algorithm and architecture / | 2 |
Q325.75 |
Fundamentals of supervised machine learning : with applications in Python, R, and Stata / Grokking deep Q-networks / Continual semi-supervised learning : first International Workshop, CSSL 2021, Virtual event, August 19-20, 2021, Revised selected papers / Ruo jian du xue xi shi yong zhi nan : yong geng shao de shu ju zuo geng duo de shi qing = Practical weak supervision : doing more with less data / Large scale hierarchical classification : state of the art / |
5 |
Q325.75 .E43 2019 | Embracing the value of data in broadcasting : Channel 4. | 1 |
Q325.75 .F75 2001 | The elements of statistical learning : data mining, inference, and prediction / | 1 |
Q325.75 H37 2001eb | The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations / | 1 |
Q325.75 .H37 2009 | The elements of statistical learning : data mining, inference, and prediction / | 1 |
Q325.75 .K65 2021eb | Supervised machine learning : optimization framework and applications with SAS and R / | 1 |
Q325.75 .M33 2019 | Machine learning & predictive modelling for recommendations & insight : Mallzee. | 1 |
Q325.75 .S33 2012eb | Boosting : foundations and algorithms / | 3 |
Q325.75 .S42 2006 | Semi-supervised learning / | 1 |
Q325.75 .S42 2006eb | Semi-supervised learning / | 2 |
Q325.75 .S45 1992 | The mathematics of generalization : the proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning / | 1 |
Q325.75 .S45 2018eb | The mathematics of generalization : the proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning / | 1 |
Q325.75 .S472 2012 | Active learning | 1 |
Q325.75 .S55 2019 |
Learn about sentiment analysis with supervised learning in R with data from the Economic News Article Tone dataset (2016) / Learn about sentiment analysis with supervised learning in Python with data from the Economic News Article Tone dataset (2016) / |
2 |
Q325.75 .S824 2014 | Graph-based semi-supervised learning / | 1 |
Q325.75 .S84 2022 | Machine learning from weak supervision : an empirical risk minimization approach / | 1 |
Q325.75 .S87 2013 | Supervised learning with complex-valued neural networks | 1 |
Q325.75 .Z485 2009 | Introduction to semi-supervised learning | 1 |