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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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Would it be possible to add a feature that allows one to embed an unseen/unlabeled data point to an existing embedding using metric learning? This would be similar to the function currently available …
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在获取get_gpu_num()函数中报错
报错信息：
TypeError: a bytes-like object is required, not 'str'
这个…
Enn29 updated
8 months ago
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This feature predicts the performance of players and teams in upcoming matches using historical data. By leveraging machine learning algorithms, it provides insights into expected outcomes and helps i…
sv410 updated
1 month ago
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Hi,
I read through the tutorial for metric learning:
https://umap-learn.readthedocs.io/en/latest/supervised.html
I have two questions (that may be related, I'm not sure)
1. Is there an explana…
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Run an experiment to evaluate the performance of a simulated annealing gradient descent (SA-GD) approach compared to traditional gradient descent (GD). The purpose of this experiment is to understand …
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### Topic of the post
Graphic with the words: Make learning fun and interactive. Download the Oppia app today!
### Goal
Fundraising/donations
### Success Metrics
Clicks
### Emotion
Curiosity,
…
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Although other learning algorithms implemented in H2O already offer MCC metric, such as GLM, the MCC metric is not currently available for the deep learning algorithm in H2O. For highly unbalanced, e…
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FEYNMAN VOICE LEARNING SYSTEM
Design Document v1.0
1. CORE PRINCIPLES
A. Natural Learning Flow
- Speaking precedes writing
- Immediate articulation reveals understanding
- Real-time feedback drives …
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Issue Description:
Create a detailed document that serves as a guide for DanHup, focusing on elevating individual development to the next level. This guide should outline the key competencies, ski…