๐๏ธRelated Post: MLE - Maximum Likelihood Estimator
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posts
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[DS / ML Back to the Basics Series #1] Statistical implication of Parameter Estimation and Standard Error.
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World Hapiness Data - Modeling MLE with Python
๐๏ธPast post on MLE: Link
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MLE (Maximum Liklihood Estimator), Bayesian, and Linear Regression - Data Science Back to the Basics
๐๏ธThis post review concepts and implications of MLE. Python to model MLE In the next post.
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Build and deploy an MBTI Predictor Using Streamlit and Huggingface Spaces: Utilizing open source BART model
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Utilizing LLM API to Evaluate Mathematical Solutions
Questions: Lots of studies on LLMs have figured out their capability of โreasoningโ. Could we use this capability in educational context? - like, evaluate mathematical solutions.
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CycleGAN - One of the brilliant style transfer models
- The original post had been composed in Korean by myself, and power of AI had provided assistance for translation and revision. Contents themselves are created by the writer, Sukhyun Hong without usage of AI tools.
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What is Zero shot learning, and why it's awsome?
- This post refers to the initial part of a paper - A Review of Generalized Zero-Shot Learning Methods and tries to review what I studies.
- The original post had been composed in Korean by myself, and power of AI had provided assistance for translation and revision. Contents themselves are created by the writer, Sukhyun Hong without usage of AI tools.
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[KR] Review of style transfer model - CycleGAN
*๋ณธ ๊ฒ์๊ธ์ CycleGAN ๋ ผ๋ฌธ๊ณผ Google ์ ๊ณต์ Colab tutorial ์ ์ฐธ๊ณ ํ์ฌ ๊ณต๋ถํ ๋ด์ฉ์ ๋ฐํ์ผ๋ก ์์ฑํ์ต๋๋ค.
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[KR] Overview on Zero Shot Learning and Multimodality
*๋ณธ ๊ฒ์๊ธ์, A Review of Generalized Zero-Shot Learning Methods ๋ ผ๋ฌธ์ ์ ๋ฐ๋ถ ๋ด์ฉ์ ๋ฐํ์ผ๋ก ๊ณต๋ถํ ๋ด์ฉ์ ํจ๊ป ๋ค๋ฃน๋๋ค.