Call Number (LC) | Title | Results |
---|---|---|
Q325.5 .H35 2023 | Machine learning for high-risk applications : approaches to responsible AI / | 1 |
Q325.5 .H36 2013 | Handbook on neural information processing / | 1 |
Q325.5 .H36 2019 | Handbook of deep learning applications / | 1 |
Q325.5 .H36 2020 | Building machine learning pipelines : automating model life cycles with TensorFlow / | 1 |
Your match would be here. | ||
Q325.5 .H364 2020eb | Graph representation learning / | 1 |
Q325.5 .H38 2009 |
Knowledge discovery with support vector machines Knowledge discovery with support vector machines / |
2 |
Q325.5 .H386 2022 | Patterns, predictions, and actions : foundations of machine learning / | 1 |
Q325.5 .H425 2011eb | Self-adaptive systems for machine intelligence | 1 |
Q325.5 .H45 2021 | Machine learning for Oracle database professionals : deploying model-driven applications and automation pipelines / | 3 |
Q325.5 .H46 2022 | Probabilistic numerics : computation as machine learning / | 1 |
Q325.5 .H48 2002 | Learning kernel classifiers : theory and algorithms / | 1 |
Q325.5 .H48 2002eb |
Learning kernel classifiers : theory and algorithms / Learning kernel classifiers theory and algorithms / |
2 |
Q325.5 .H48 2023 | Machine learning contests a guidebook / | 2 |
Q325.5 .H69 2020 | Deep learning for coders with fastai and PyTorch / | 1 |
Q325.5 .H83 2006 | Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning / | 1 |
Q325.5 .H83 2006eb | Kernel based algorithms for mining huge data sets supervised, semi-supervised, and unsupervised learning / | 1 |
Q325.5 .H83 2019 | Compact and fast machine learning accelerator for IoT devices / | 1 |
Q325.5 .H83 2023 | Machine learning safety / | 1 |
Q325.5 .H85 2021 | Machine learning for economics and finance in TensorFlow 2 : deep learning models for research and industry / | 3 |
Q325.5 .H88 1994 | Algorithmic learning / | 1 |