Learning: neither Deep nor Machine, just Human
My (wish) list of things to learn.
Machine Learning
On one side I am intrigued by Data Analysis and Visualization (see some of my D3 [et al.] blocks, Observable notebooks or my R project) and on the other side by Machine Learning.
For ML I am very slowly going thru some MOOC:
- Richard McElreath’s Statistical Rethinking
- Andrew Ng’s Machine Learning.
- Statistical Learning by Stanford University Profs. Trevor Hastie and Rob Tibshirani.
- Daphne Koller’s Probabilistic Graphical Models.
Wish me luck.