Where I list things that I want/intend to read, watch, research or otherwise consume
Educational
Reading List
- Tiago Forte - Building a Second Brain
- The Inmates Are Running the Asylum
- Nearbound and the Rise of the Who Economy - Jared Fuller
Watch List
- Revenue Management
- Software Engineering
Entertainment
Reading List
Fantasy
- Brandon Sanderson - Mistborn Trilogy
- Brandon Sanderson - Stormlight Archive
- Shirtaloon (Travis Deverell) - He Who Fights with Monsters
- John Scalzi - The Interdependency Trilogy
Watch List
Research List
Tech
- Nix OS
- DuckDB
- SIMD Intrinsics
- Polars
- Using Ollama + continue.dev open source tools for free AI code-completion
- Synthetic Sales Data
- Basic Python Modelling Pipelines
- DataFrame Cheat Sheets
- Positron IDE
- Database, Data Warehouse, Data Lake & Data Lakehoues
- Time series forecasting with LLM’s vs traditional methods
Pricing & Revenue Management
- Basic Principles
- Price Elasticity of Demand
- Price Realisation
- Product Mix
- AI Modelling
- Feature Importance (how well can different attributes of data can predict others)
- Customer Segmentation
- Elasticity & Demand modelling
- Win Rates in Bid/Quote Competitive Environment
- Modelling Return on Promotional Spend & Impact Simulation
- RNN for Time Series Modelling
- Cross Portfolio Cannibalization
- Market Pressure Elasticity Impact
AI/ML Modelling Examples
I want to make an essentials cheat sheet, containing basic implementation examples of most common AI/ML models, applied as simply as possible to use cases as easily comprehensible as possible
- GAM & GLM
- XGBoost Regression & Classification Simple Examples
- Neural Networks
- ANN
- RNN
- CNN