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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …
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Thanks @alexpghayes for volunteering to submit your [`fastadi` package](https://github.com/RoheLab/fastadi) for trial "soft submission" to rOpenSci's new system for peer review of statistical software…
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Post questions here for this week's fundamental readings:
Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 10, 12, 6, 13 —“Principles of Di…
lkcao updated
6 months ago
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Post questions here for this week's fundamental readings:
Cornell Conversational Analysis Toolkit (ConvoKit) [Documentation](https://convokit.cornell.edu/documentation/index.html#): [Introductory Tut…
lkcao updated
6 months ago
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Post a link for a "possibility" reading of your own on the topic of Reinforcement Learning [for week 8], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we d…
lkcao updated
2 years ago
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Post questions about the following orienting reading:
Hopkins, Daniel J. and Gary King. 2010. [A Method of Automated Nonparametric Content Analysis for Social Science](https://onlinelibrary.wiley.c…
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**Using the following text as example**
> Disagree with the light-rail fare increases? You can join the noise barrages and “selfie protests” slated > for Monday, the first working day of the new y…
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### News
- [AI미래포럼-금융분과웨비나: 초거대 AI 시대의 금융, 상상과 현실](https://www.youtube.com/live/fGQQ7lqhU7w?feature=share)
- 4월 4일 오전 10시
- 미래에셋, KPMG, KB은행 등
- LLM 블랙박스 Training 혹은 dataset distillation 은 (상대…
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Hi, could someone explain me what the three different losses mean? And which I should care at most in order to obtain good quality pics.
In particular:
- discrim_loss
- gen_loss_GAN
- gen_los…
ghost updated
3 years ago
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on deep reinforcement learning, deep agent based models, or related topics.