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“Integrative Learning - Multi-modal, Complex and Complete Models” & “Epilogue: You in the Loop” in Thinking with Deep Learning, Chapters 17 & Epilogue; “[Explainable Deep Learning: Concepts, Methods, …
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**Describe the bug**
When running the fairness-interpretability-dashboard-income-prediction.ipynb notebook, the command:
from raiwidgets import ExplanationDashboard
returns the following error:…
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### What is the name of your project?
From Smart Curation to Socially Aware Decision Making
### What is the purpose of your project?
This project aims to establish a consortium of Arkansas researc…
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- **PCA**: technique for reducing the dimensionality of a dataset, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that …
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Hi Mateo,
I really liked your article on Towards Data Science on your interpretability algorithm for tree-based classifiers, and could definitely leverage this approach in my work.
Would it be p…
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Post questions here about:
Witten, Ian H., Eibe Frank, Mark A. Hall, Christopher J. Pal. 2017. [“Ensemble Learning”](https://github.com/Computational-Content-Analysis-2020/Readings-Responses/files/…
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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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Comment below with a well-developed question or comment about the reading for this week's workshop. These are individual questions and comments.
Please post your question by Wednesday 11:59 PM, and…
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**Is your feature request related to a problem?**
The feature request is related to the need for efficient sentiment prediction of Amazon book reviews using machine learning models. The current manu…