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Dear Developers,
Thanks for sharing.
I am a beginner learning about machine learning potentials, and my current computational resources do not support setting up a CUDA environment. Additionally, I …
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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Introducing lints for pytorch expands `ruff` utility in the AI/machine learning space, in addition to [Numpy](https://github.com/astral-sh/ruff/issues/2455) and [Spark](https://github.com/astral-sh/ru…
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Unconference Federated Learning
# Title
Cases and applications of federated learning
# Description
Centralized Learning (CL) in Machine Learning refers to the traditional approach where all d…
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Dear Jorge,
My name is Peng Jian, and from mainland, China.
I am a teacher from College of Information and Intelligence, Hunan Agricultural University, and a translator of Tsinghua University P…
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# Module: Register a MLFlow model in Azure Machine Learning
## Lab/Demo: 10
### Task: Log and Register models with MLFlow
#### Step: Lab 10: Log models with MLFlow.ipynb
![image](https://github.co…
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Session organised to explore the analytic potential of pattern recognition & machine learning applied to markes, initials and signatures from C17th legal manuscript material [English High Court of Adm…
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Analysis of real-time domestic consumer data and industrial electrical energy consumption data, providing valuable insights for decision-making & using mathematics, statistics, predicting report.
Con…
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Introduction to the topic
The proliferation of Internet-of-Things (IoT) technologies, such as surveillance cameras, has significantly enhanced the monitoring of public spaces. This development coinci…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Airlines Delay Prediction
:red_circle: **Aim** : Airlines Delay Prediction is a machine learning pro…