“machine learning”

Machine learning with scikit-learn.

Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple…

Fine-tune MACE machine learning interatomic potentials on custom datasets.

Fine-tune MatGL machine learning interatomic potentials on custom datasets.

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.

Detects and prevents data leakage in machine learning and mathematical modeling.

Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems.

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.

Benchmark of inference speed of Machine Learning Interatomic Potentials (MLIPs).

Azure Machine Learning SDK v2 for Python.

Explain and audit machine-learning predictions with SHAP.

Train a property predictor head on top of a Machine Learning Interatomic Potential (MLIP) backbone (MACE or MatGL) to predict custom intensive or extensive…

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes.

27 ai & machine learning skills.

Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for…

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.

Specialist subagent: Expert machine learning engineer for PyTorch, TensorFlow, LLM integration, and ML pipelines

Use when you need a repository-specific analysis of MalenoV (MAchine LEarNing Of Voxels): summarize its purpose, explain each important function, describe…

Instrument, monitor, compare, and diagnose machine-learning experiments with Trackio metrics, alerts, dashboards, and structured exports.

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.

Machine learning pipeline for scientific research including data preprocessing, feature engineering, model selection, training, evaluation, and interpretation.

AI and machine learning development with PyTorch, TensorFlow, and LLM integration.