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23 lines
1.5 KiB
23 lines
1.5 KiB
# 머신러닝 소개하기
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커리큘럼의 이 섹션에서, 머신러닝 필드의 기초가 될 기본 개념, 의미, 역사와 연구자가 이용하는 기술을 배울 예정입니다. 새로운 ML의 세계로 같이 모험을 떠납시다!
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> Photo by <a href="https://unsplash.com/@bill_oxford?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Bill Oxford</a> on <a href="https://unsplash.com/s/photos/globe?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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### 강의
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1. [머신러닝 소개하기](../1-intro-to-ML/translations/README.ko.md)
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1. [머신러닝과 AI의 역사](../2-history-of-ML/translations/README.ko.md)
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1. [공정성과 머신러닝](../3-fairness/translations/README.ko.md)
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1. [머신러닝의 기술](../4-techniques-of-ML/translations/README.ko.md)
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### 크레딧
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"Introduction to Machine Learning" was written with ♥️ by a team of folks including [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan), [Ornella Altunyan](https://twitter.com/ornelladotcom) and [Jen Looper](https://twitter.com/jenlooper)
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"The History of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Amy Boyd](https://twitter.com/AmyKateNicho)
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"Fairness and Machine Learning" was written with ♥️ by [Tomomi Imura](https://twitter.com/girliemac)
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"Techniques of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Chris Noring](https://twitter.com/softchris) |