“machine learning”

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Apply rigorous, ambitious engineering judgment to machine-learning work.

Machine learning development patterns, model training, evaluation, and deployment.

First-principles ML: classical methods, optimization, Gaussian processes, deep learning, probabilistic inference, generative models, RL.

**[REQUIRED]** For **ALL** data science and machine learning tasks.

Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits &…

Expert machine learning engineer skill.

Applies Tom M.

Explain trained machine learning models through feature attribution, local explanations, and behavior summaries.

LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode.

Evaluate trained machine learning models with the right metrics and comparison logic.

面向大连理工大学机器学习课程的中文 skill。用于 Python notebook、numpy/pandas/matplotlib/scikit-learn、线性回归、逻辑回归、决策树、训练测试划分、评估指标、API 警告修复、作业检查和复习。

Workflow for predictive modeling, biomarker discovery, survival modeling, and explainability over omics-derived features.

Knowledge base from 'Machine Learning for Asset Managers' by Marcos M.

Knowledge base from 'Advances in Financial Machine Learning' by Marcos M.

Maps query single-cell data to reference atlases using scArches transfer learning with scVI and scANVI models.

Master ML operations best practices in Arabic

Selects informative features for biomarker discovery using Boruta all-relevant selection, mRMR minimum redundancy, and LASSO regularization.

Analyzes time-to-event data using Kaplan-Meier curves, log-rank tests, and Cox proportional hazards regression with lifelines.

Research contribution advancing agent and reasoning capabilities through novel approaches to model development, training, and evaluation.

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

Machine learning in Python with scikit-learn.

This skill covers causal machine learning methods in applied economics and quantitative social science.

Supports machine learning in Python with scikit-learn.