SQL join flavors. Data pipeline powertools. Dirichlet distributions. AI's jagged frontier. Little climate pictures.
Gentle intro to GDAL. Outlier detection and removal. Intro to Python for R users. Privacy not included. Skills for data's next generation.
The 7 levels of Postgres. Upcoming machine learning conferences. Database of Databases. Legalities of web scraping. Box plot alternatives.
CSV: big, bad and ugly. Reproducibility with Jupyter. Geographic data science with python. Natural language SQL engine. Data science with sign language data.
Analysis of the data job market. LLM open challenges. Data viz with LLMs. Is probability frequentist or Bayesian? Opening career doors.
The weird world of LLMs. Learning how DBs work under the hood. Probabilistic ML: Advanced Topics. Packaging C code for R. Tactile data viz.
Finance Toolkit. Awesome Quarto. Do machine learning models memorize or generalize? ML⇄DB seminar series. Functions are vectors.
Nix for data science. Telling Stories with Data. Design patterns for LLM systems & products. Practical guide to conjoint analysis. Treemaps.
Salary Calculator. Python vector DBs. Visual superpowers. Polars for R Cookbook. Test Driven Data Analysis. Python cheatsheet.
Advanced python. Financial ML. GPT-4 superpowers. VScode + Docker + Python = ❤️. Dimensionality reduction. Regulating AI.
Unraveling PCA. Hidden tools in Python. SQL inner joins. Statistical learning for python. Demystifying text data. How to do great work.
The Data Delusion. Time series analysis. Equalized Odds in machine learning. Making decisions with data. How to build reproducible pipelines with R.
Julia programming for machine learning. Spatial statistics. Raincloud plots. Artifact corrections for effect sizes. Perils of faking data in Excel. Private LLMs for DB interactions.
No spam, ever.