## Neural process family

Meta-learning a distribution over predictors using the Neural Process Family.

Meta-learning a distribution over predictors using the Neural Process Family.

ML concepts: optimization.

Optimization concepts: linear programming.

ML concepts: reinforcement learning.

RL concepts: temporal difference learning.

RL concepts: monte carlo GPI.

RL concepts: dynamic programming.

RL concepts: basics.

ML concepts: VAE.

ML concepts: decision trees.

ML concepts: supervised vs unsupervised learning.

ML concepts: parametric vs non parametric.

ML concepts: Naive Bayes.

ML concepts: evaluation metrics.

ML concepts: no free lunch.

ML concepts: information theory.

ML concepts: generative vs discriminative.

ML concepts: curse of dimensionality.

Review of resources to learn about ML.

Machine Learning glossary with a focus on intuition