References

Tags: resource concept

Sources:

Related notes:

Machine Learning

Updates:

April 14th, 2021: created note.

Notes {{word-count}}

Summary: This is a knowledge base of Machine Learning concepts.

Key points:

Machine Learning basics

Dataset

Discriminative Model

Generative Model

Independent and Identically Distributed

Inductive Bias

Maximum Likelihood Estimation (MLE)

Optimizer

Softmax

Supervised Learning

Loss Function

Cross-Entropy

Mean Squared Error

Negative Log-Likelihood (NLL)

Zero-One Loss

Deep Learning

Neural Network

Transformer

BERT

Reinforcement Learning

Natural Language Processing

Language Model

Curriculum Learning

Credits

Some notes are borrowed from lectures notes of UC Berkeley CS182 Deep Learning Sergey Levine 2021.