31 use cases available in Data & Analytics
Microsoft's retrieval-augmented generation patterns. Vector search, semantic ranking, and Azure AI Search integration.
Optimal use of OpenAI embeddings. Dimension reduction, batch processing, and similarity search patterns.
OpenAI's cookbook patterns for RAG systems. Chunking strategies, retrieval optimization, and answer generation.
Distributed computing for larger-than-RAM pandas/NumPy workflows with parallel file processing and distributed ML.
Perform comprehensive EDA on scientific data files across 200+ file formats with quality metrics and recommendations.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, and visualization.
Low-level plotting library for full customization and publication-quality figures.
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs.
Interactive visualization library with hover info, zoom, pan, and web-embeddable charts.
Fast in-memory DataFrame library for datasets that fit in RAM with lazy evaluation.
Bayesian modeling with MCMC (NUTS), variational inference, and probabilistic programming.
Multi-objective optimization framework with NSGA-II, NSGA-III, and Pareto fronts.
Statistical visualization with pandas integration for distributions and relationships.
Guided statistical analysis with test selection, assumption checking, and APA-formatted results.
Statistical models library for OLS, GLM, mixed models, ARIMA, and rigorous inference.
Symbolic mathematics for solving equations, calculus operations, and exact symbolic results.
Zero-shot time series forecasting with Google's TimesFM foundation model.
UMAP dimensionality reduction for fast nonlinear manifold learning and visualization.
Process and analyze large tabular datasets (billions of rows) that exceed RAM with out-of-core operations.
Chunked N-D arrays for cloud storage with parallel I/O and S3/GCS integration.
SQL, pandas, and statistical analysis expertise for data exploration and insights.
Chart selection and data visualization guidance for effective data communication.