introduction-to-machine-learning-syllabus-2022
An independent study based introduction to machine learning syllabus for 2022
https://github.com/nelslindahlx/introduction-to-machine-learning-syllabus-2022
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Repository
An independent study based introduction to machine learning syllabus for 2022
Basic Info
- Host: GitHub
- Owner: nelslindahlx
- License: mit
- Language: TeX
- Default Branch: main
- Size: 1.55 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Introduction:
I used this template for a paper called, "An independent study based introduction to machine learning syllabus for 2022."
Description:
Template for the Perception, Robotics and Intelligent Machines (PRIME) research group, Université de Moncton, Canada (templatePRIME.tex) https://primeai.ca/
Can be used as Arxiv Template (see templateArxiv.tex).
Adapted by Moulay Akhloufi using the Arxiv style of George Kour available at https://github.com/kourgeorge/arxiv-style (last accessed: April 2021)
George Kour Arxiv style is provided under a MIT License (Copyright (c) 2020 George Kour; Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions)
Instructions
For Arxiv paper, use templateArxiv.tex with PRIMEarxiv.sty
Owner
- Name: Nels Lindahl
- Login: nelslindahlx
- Kind: user
- Location: Denver, Colorado
- Company: nels.ai
- Website: https://www.nels.ai/
- Repositories: 9
- Profile: https://github.com/nelslindahlx
Tech chaser. Author of Graduation with Civic Honors. Avid writer. Sports card collector. Occasional speaker. Doctor of Philosophy.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Lindahl" given-names: "Nels" orcid: "https://orcid.org/0000-0002-1855-6096" title: "An independent study based introduction to machine learning syllabus for 2022" version: 1.0.0 doi: 10.13140/RG.2.2.35475.14881 date-released: 2022-08-09 url: "https://github.com/nelslindahlx/Introduction-to-machine-learning-syllabus-2022"