Neural process family
Meta-learning a distribution over predictors using the Neural Process Family.
Blog posts
2020
2019
Optimization
ML concepts: optimization.
Linear programming
Optimization concepts: linear programming.
Reinforcement learning
ML concepts: reinforcement learning.
Temporal difference learning
RL concepts: temporal difference learning.
Monte Carlo GPI
RL concepts: monte carlo GPI.
Dynamic programing
RL concepts: dynamic programming.
Reinforcement learning
RL concepts: basics.
Variational autoencoder
ML concepts: VAE.
2017
Decision trees
ML concepts: decision trees.
Supervised vs unsupervised
ML concepts: supervised vs unsupervised learning.
Parametric vs non parametric
ML concepts: parametric vs non parametric.
Naive Bayes
ML concepts: Naive Bayes.
Evaluation metrics
ML concepts: evaluation metrics.
No free lunch
ML concepts: no free lunch.
Information theory
ML concepts: information theory.
Generative vs discriminative
ML concepts: generative vs discriminative.
Curse of dimensionality
ML concepts: curse of dimensionality.
Resources for learning about ML
Review of resources to learn about ML.
Machine learning glossary
Machine Learning glossary with a focus on intuition