Fundamentals
4
Search
Efficient Machine Learning with R
Welcome🐛
1
Introduction
Fundamentals
2
Models
3
Parallel computing
4
Search
5
The submodel trick
Beyond the Basics
6
Preprocessing
7
Sparsity
8
Stacking
References
Table of contents
4.1
Grid search
4.2
Iterative Search
4.2.1
Simulated Annealing
4.2.2
Bayesian Optimization
Fundamentals
4
Search
4
Search
Caution
Not much here yet! Come back later!
4.1
Grid search
4.2
Iterative Search
4.2.1
Simulated Annealing
4.2.2
Bayesian Optimization
3
Parallel computing
5
The submodel trick