ml-and-ai-resources

Trends

• Stanford University AI Index Report (2023) | (2022)
• Kaggle's State of Data Science and Machine Learning 2022

Comparisons & Benchmarks

• AI Infrastructure Alliance Landscape comparison

MLOps

• Comprehensive list of open-source MLOps resources
• How We Built Infrastructure to Run User Forecasts at Spotify

LLMs / Generative AI

• Prompting Guide

Problem Domains

Anomaly Detection

• ADBench: anomaly detection model benchmark

Forecasting

• Nixtla: Open Source Time Series Forecasting libraries

Privacy

• PipelineDP: PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more. Developed by OpenMined and Google

Ethical AI

• Awful AI list: "Awful AI is a curated list to track current scary usages of AI"

Retail

• Price optimization notebook for apparel retail using Google Vertex AI: comprehensive approach shared by Grid Dynamics' ML team
• Grid Dynamics ML/AI blog

Learning Resources

• DAIR.AI's list of ML YouTube Courses
• e2eml.school
• DAIR.AI's list of free courses and samples

Foundations

• Introduction to streaming for data scientists