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Everything about ML.NET
Machine learning library
ML.NET is a free software machine learning library for the C# and F# programming languages. It also supports Python models when used together with NimbusML. The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. Additional ML tasks like anomaly detection and recommendation systems have since been added, and other approaches like deep learning will be included in future versions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: ML.NETA 5-minute orientation
- Skim a recent paper: TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformersInfluential work since 2022
- Pick up a classic book: Emergent Web intelligenceThe most-reprinted book on the subject
- Read the landmark paper: Regularization and Variable Selection Via the Elastic NetCited 17,874 times
- Go sideways: Open Neural Network ExchangeA closely related topic
- Go sideways: Neural Network IntelligenceA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Regularization and Variable Selection Via the Elastic Net
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
Are Government Bonds Net Wealth?
Road Extraction by Deep Residual U-Net
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
NITROGEN LIMITATION OF NET PRIMARY PRODUCTIVITY IN TERRESTRIAL ECOSYSTEMS IS GLOBALLY DISTRIBUTED
🆕 Influential since 2022
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
Medical Image Segmentation Review: The Success of U-Net
DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer
📚 Books worth reading
Emergent Web intelligenceYouakim Badr · 2010
Programming ML. NetDino Esposito · 2021- 📕Hands-On Machine Learning with ML. NETJarred Capellman · 2020
- 📕ML. NET RevealedSudipta Mukherjee · 2020
MICROSOFT ML.NET MACHINE LEARNING FOR .NET DEVELOPERS USING C#.NETDr. A. F. Salam, Jakia Salam · 2019
C# 8.0 and .NET Core 3.0 – Modern Cross-Platform DevelopmentMark J. Price · 2019- 📕Data Science with . NET and Polyglot NotebooksMatt Eland · 2024
- 📕C# 8. 0 and . NET Core 3. 0 - Modern Cross-Platform DevelopmentMark J. Price · 2019
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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