andy
b24f551589
Affected files: .obsidian/backlink.json .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json Events/🪣🪣🪣.md Health/ADHD.md STEM/AI/Classification/Gradient Boosting Machine.md STEM/AI/Neural Networks/CV/Visual Search/Visual Search.md STEM/AI/Neural Networks/Learning/Tasks.md STEM/AI/Pattern Matching/Dynamic Time Warping.md STEM/AI/Problem Solving.md STEM/CS/Regex.md STEM/img/dtw-graph-unit.png STEM/img/dtw-graph.png STEM/img/dtw-gross-partitioning.png STEM/img/dtw-heatmap-distortion.png STEM/img/dtw-heatmap.png STEM/img/dtw-possible-movements.png STEM/img/dtw-score-pruning.png STEM/img/nn-tasks-function-approx-inverse.png STEM/img/nn-tasks-function-approx.png STEM/img/nn-tasks-pattern.png STEM/img/problem-solving-arch.png STEM/img/problem-solving-goal-based.png STEM/img/problem-solving-reflex.png STEM/img/visual-search-arch.png STEM/img/visual-search-crude.png
8 lines
450 B
Markdown
8 lines
450 B
Markdown
- Higher level take
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- Iteratively train more models addressing weak points
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- Well paired with decision trees
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- Strictly outperform random forest most of the time
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- Similar properties
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- One of the best algorithm for dealing with non perceptual data
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- XGBoost
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- [Confusing XGBoost Hyperparameters](https://towardsdatascience.com/10-confusing-xgboost-hyperparameters-and-how-to-tune-them-like-a-pro-in-2023-e305057f546?source=rss----7f60cf5620c9---4) |