Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Automates the deployment of machine learning models to production environments using CI/CD workflows and infrastructure-as-code best practices.
Standardizes how AI identifies and communicates about specific Jupyter notebook cells using stable, identifiable characteristics instead of volatile cell numbers.
Standardizes scale alignment for multi-modal RNA and protein data integration to ensure accurate cross-modal matching.
Optimizes reinforcement learning reward functions for automated trading to eliminate reward hacking and improve P&L gradient signals.
Diagnoses and resolves bimodal matching score distributions in MaxFuse multi-modal data integration pipelines.
Prevents data shape mismatches and synchronization errors when modifying Jupyter notebook data sources.
Optimizes MaxFuse parameters to prevent RNA cell loss in datasets with extreme protein-to-RNA imbalance ratios.
Optimizes trading regime detection by dynamically adjusting Lotka-Volterra coefficients based on real-time market volatility and momentum.
Implement unified position sizing and sophisticated risk management for trading algorithms using GARCH, Kelly criterion, and quadratic drawdown scaling.
Navigates complex memory graphs using RLM-style recursive search to find deep context without excessive token usage.
Monitors GPU performance, VRAM usage, and inference metrics for local Ollama models.
Integrates Ollama's local LLM capabilities into Claude Code via direct REST API operations using the Python requests library.
Integrates Ollama with the OpenAI Python library to enable seamless migration and compatibility with OpenAI-based tools.
Integrates local LLM inference into Python applications using the official Ollama library for text generation, chat, and model management.
Analyzes cross-metal correlations between Palladium and Silver to confirm trend turning points and identify failed price moves.
Imports GGUF models directly from HuggingFace into Ollama for seamless local inference and experimentation.
Analyzes copper inventory rebuild speeds and historical price percentiles to identify market peaks and long-term valuation opportunities.
Analyzes the intersection of aging populations and sovereign debt to quantify fiscal vulnerability and potential currency dilution paths.
Aggregates K18 quality control artifacts into comprehensive summary reports while maintaining project manifests.
Integrates local Large Language Models with Home Assistant and Ollama for private, high-performance smart home automation.
Validates and audits Vertex AI Agent Engine deployments to ensure production readiness, security compliance, and protocol adherence.
Reconstructs multiplex microscopy images by correctly ordering tiles acquired via snake or serpentine stage patterns.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Simplifies building generative UI and LLM-powered React applications with client-side tool calling and sandboxed execution.
Implements enterprise-grade AI solutions using OCI Generative AI, Database 23ai Vector Search, and the Oracle ADK.
Designs framework-agnostic AI agents using Oracle's Open Agent Specification for portable and interoperable agentic systems.
Optimizes vector search and RAG applications through intelligent embedding model selection and advanced chunking strategies.
Performs comprehensive cryptocurrency market research and analysis using a multi-agent AI system.
Performs multi-agent cryptocurrency market analysis, tracking price trends, news sentiment, and macro correlations for digital asset evaluation.
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