Learning

How to choose what to learn

Try to learn things that are orthogenal to what you already know.

Try to learn things that have long term value, not the latest popular technology that will be gone in a short time (see Ideas)

My To Learn

see MOOCs

Prio List

• AWS Data Analytics
• Scrum
• Project Management

IT

• TypeScript and Angular, React or something similar
• D3
  • https://observablehq.com/@mitvis/introduction-to-d3
  • https://observablehq.com/@d3/learn-d3
• Rust
• Deep Learning
• ML Ops (ML Flow, Tensorflow extended)
• Kafka
• AWS Big Data
• AWS Machine Learning

Stats

• Kalman
  • #Book: Roger Labbe, Kalman and Bayesian Filters in Python (on remarkable)
• Bayes’ statistics
  • See #bayes folder on remarkable
  • Bayesian Methods for hackers
  • Probabilistic Machine Learning: An Introduction
• Resampling/Bootstrapping
  • #Book: Julian L. Simon 1997, Resampling: The New Statistics
• Causal Interference
  • #Book: Causal Inference: The Mixtape
• Upgrade Probability
• Upgrade Time Series
• Statistical Rethinking Course and Books

Business / Planning

• TOGAF
• Scrum (get a cert)
• Project Management