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Data & AI

Problem-solving strategies for eigenvalues in linear algebra. Compute characteristic polynomials, eigenvalues and eigenvectors with verification methods.

Data & AI

Analyzes individual or multiple stocks and performs market reviews with structured reports including sentiment, technical data, and actionable plans.

Data & AI

Predicts persona performance in specific task contexts. Executes a protocol to analyze and validate results.

Data & AI

Selects informative features from high-dimensional omics data using Boruta all-relevant selection, mRMR minimum redundancy, LASSO regularization, and univariate filtering. Helps identify robust biomarkers by combining multiple feature selection approaches.

Data & AI

Automates confusion matrix generation for ML training, including code and configurations.

Data & AI

Meta's library for large-scale similarity search and clustering of dense vectors, with GPU acceleration and multiple index types. Ideal for fast k-NN and vector retrieval.

Data & AI

Introduction and implementation guide for Google Cloud Vector Search 2.0.

Data & AI

Analyze and predict persona performance in specific task contexts.

Data & AI

Create interactive data visualizations using D3.js. Use this when creating charts, graphs, network diagrams, geographic visualizations, or custom SVG-based data visualization.

Data & AI

Extracts dominant colors from an image using a Python script. Specify the image path and optionally set the number of colors, quality, output format (hex, rgb, tuple, full), or get JSON output. Helpful for design work, generating color palettes, or programmatic extraction.

Data & AI

Predict persona performance in specific task contexts.

Data & AI

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.