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Good morning,
I am undertaking my master's degree in the area of machine learning applied to intrusion detection systems such as snort. I believe it will be very useful to use this library to int…
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Scoping is an essential part of any research project, especially in a broad field like Software Engineering Evolution. Here’s a step-by-step guide to scoping your research effectively:
### 1. **Defin…
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# Title of the Talk: No Code SLM Finetuning with MonsterAPI
## Abstract of the Talk:
Dive into the world of no-code large language model (LLM) finetuning in this informative talk presented by Mons…
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## Overview
- "Croissant is a high-level format for machine learning datasets that brings together four rich layers."
- This issue tracks activities related to our collaboration with the Kaggle Tea…
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Towards a suite of machine learning functionality, here is a fundamental routine for solving systems.
A' la [SciPy's implementation](http://scikit-learn.org/stable/modules/sgd.html) of [Stochastic …
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Machine learning systems, such as large language models, that generate content are starting to be integrated into collaborative environments. Examples include office applications and IDEs (e.g., for c…
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# More Design Patterns For Machine Learning Systems
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.
[https://eugeneyan.com/writing/more-pat…
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# Title
Integration of open-source AI models in Galaxy (web-based scientific data analysis platform)
# Description
[Galaxy (Europe)](https://usegalaxy.eu/) is a web-based, open-source data anal…
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https://arxiv.org/pdf/1705.00594
While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to …
leo-p updated
7 years ago
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# Title
Tutorial on Efficient Hyperparameter Optimization for Machine Learning
# Responsible person(s)
Marcel Aach ([m.aach@fz-juelich.de](mailto:m.aach@fz-juelich.de)), JSC and University of Icela…