ML in Data & Analytics

Build, debug, and optimize Claude API applications with caching and model migration support.

Create and manage scalable REST API endpoints for LLMs and ML models.

Build vector search indexes and semantic search applications on Databricks.

Generate a complete ontology layer and semantic models from your Snowflake schema.

Set up and run AI evaluation pipelines with MLflow scorers and automated prompt optimization.

Generate realistic test datasets in Parquet, JSON, CSV, or Delta format at any scale.

Create knowledge assistants and supervisor agents for document Q&A and multi-agent workflows.

Design and implement ML operations for model promotion, CI/CD, monitoring, and governance.

Manage LLM provider credentials and integrations in Arize for evaluators.

Create annotation schemas and manage human review workflows in Arize.

Work with astronomical data using Python's core astronomy library for coordinates, units, and FITS files.

Search scientific papers and extract structured experimental data like methods, results, and sample sizes.

Classify, forecast, and detect anomalies in time series data using specialized machine learning algorithms.

Work with annotated data matrices and .h5ad files for single-cell analysis.

Test your understanding of AI Engineering from Scratch course phases.

Build knowledge graphs from documents and search them with natural language queries.

Analyze customer accounts to predict churn risk and identify expansion opportunities.

Autonomously research, benchmark, and implement performance optimizations with production-ready pull requests.

Attack ML models, craft adversarial examples, and solve AI-based CTF challenges.

Verify numeric claims in manuscripts match actual analysis outputs within tolerance.

Set up AI Runway on Azure Kubernetes Service from cluster to running model.

Search, transcribe speech, and extract text from documents using Azure AI.

Optimize your CLAUDE.md file for clarity, efficiency, and maintainability.

Find new Japanese NLP GitHub repositories missing from awesome-japanese-nlp-resources lists.

Research current challenges and solutions in Japanese natural language processing.

Analyze current trends in Japanese natural language processing with web research and curated datasets.

Search libraries, models, and datasets for Japanese natural language processing.

Generate counterfactual explanations and trust scores to understand AI model decisions.

Detect and mitigate bias in machine learning models with fairness metrics and compliance reports.

Explain individual AI predictions for tabular, text, and image data.

Extract sparse ideas, dense ideas, and experimental logs from research papers for benchmarking.

Deploy and manage generative AI models and ML workflows on SAP's enterprise cloud platform.

Apply AI and semiconductor supply-chain analysis to evaluate stock ideas and market outlook.

Build self-improving AI agents using 9 reinforcement learning algorithms.

Calculate delta, gamma, theta, vega, and implied volatility for options.

Generate publication-ready statistical code and tables for medical research papers.

Find and explore academic papers, citations, and authors using Semantic Scholar's research corpus.

Generate and audit publication-ready plots for computer science and machine learning papers.

Search and verify citations for research papers with accuracy checks.

Build and optimize Snowflake data pipelines, SQL queries, and AI-powered applications.

Create and query Databricks Genie Spaces for natural language SQL exploration.